com.mcparmory/elevenlabs
PYPI · MCPARMORY-ELEVENLABS · 2 COMPONENTS
Convert text to speech, transcribe audio, and dub videos with AI voices
Available components
Last scanned (19 hours ago)
Scores higher than 61% of PyPI servers
Category Design and Media
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 2 of 40 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 176 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability70
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 38535 tokens (~149/item across 258 items; 258 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management83
- Stability observed for 25 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety95
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 32 of 40 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "isolate_audio" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Partial
- An AI judge read all 258 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Nov 26 −2
- Stability: pass → 0.83 functional
- 3 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 31 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 29 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: 0.97 → pass security
- 28 Oct 26 0
- Stability: pass → 0.97 functional
- 22 Oct 26 0
- Stability: 0.97 → pass security
- 21 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- Stability: pass → 0.97 functional
- 19 Oct 26 −15
- Malware scan: pass → unverified ▼ security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed pypi/mcparmory-elevenlabs@1.0.3
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Dependencies 40 packages
| Packages resolved | 40 |
|---|---|
| Stale | 1 |
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
delete_conversation_file Delete Conversation File ~76
Remove a file upload from a conversation. This operation is only available if the file has not yet been used within the conversation.
| Name | Type | Req | Description |
|---|---|---|---|
| conversation_id | string | yes | The unique identifier of the conversation containing the file to be deleted. |
| file_id | string | yes | The unique identifier of the file upload to be removed from the conversation. |
No output schema declared.
No examples provided.
delete_dubbing Delete Dubbing ~46
Permanently deletes a dubbing project and all associated data. This action cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| dubbing_id | string | yes | The unique identifier of the dubbing project to delete. |
No output schema declared.
No examples provided.
delete_dubbing_segment Delete Dubbing Segment ~77
Removes a single segment from a dubbing project. This operation permanently deletes the specified segment and cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| dubbing_id | string | yes | The unique identifier of the dubbing project containing the segment to be deleted. |
| segment_id | string | yes | The unique identifier of the segment to be deleted from the dubbing project. |
No output schema declared.
No examples provided.
delete_evaluation_criterion Delete Evaluation Criterion ~52
Delete a specific evaluation criterion from the speech-to-text evaluation system. This operation permanently removes the criterion and cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| criterion_id | string | yes | The unique identifier of the evaluation criterion to delete. |
No output schema declared.
No examples provided.
delete_history_item Delete History Item ~60
Delete a speech history item by its ID. This removes the item from your speech synthesis history.
| Name | Type | Req | Description |
|---|---|---|---|
| history_item_id | string | yes | The unique identifier of the history item to delete. You can retrieve available history item IDs using the list history items endpoint. |
No output schema declared.
No examples provided.
delete_human_agent Delete Human Agent ~51
Remove a human agent from the speech-to-text evaluation system. This operation permanently deletes the agent and their associated routing configuration.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the human agent to delete. |
No output schema declared.
No examples provided.
delete_knowledge_base_document Delete Knowledge Base Document ~127
Permanently delete a document or folder from the knowledge base. Optionally force deletion even if the document is in use by agents, which will also remove it from dependent agents and delete all child documents in non-empty folders.
| Name | Type | Req | Description |
|---|---|---|---|
| documentation_id | string | yes | The unique identifier of the document or folder to delete from the knowledge base. |
| force | boolean | – | Force deletion of the document or folder even if it is currently used by agents. When enabled, the document will be removed from all dependent agents, and all child documents and folders within non-e… |
No output schema declared.
No examples provided.
delete_mcp_server Delete MCP Server ~50
Remove a specific MCP server configuration from the workspace. This action permanently deletes the server and its associated settings.
| Name | Type | Req | Description |
|---|---|---|---|
| mcp_server_id | string | yes | The unique identifier of the MCP server to delete. |
No output schema declared.
No examples provided.
delete_phone_number Delete Phone Number ~49
Delete a phone number from your ConvAI account by its ID. This action is permanent and cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| phone_number_id | string | yes | The unique identifier of the phone number to delete. |
No output schema declared.
No examples provided.
delete_project Delete Project ~42
Permanently deletes a Studio project and all associated data. This action cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| project_id | string | yes | The unique identifier of the Studio project to delete. |
No output schema declared.
No examples provided.
delete_pronunciation_rules Delete Pronunciation Rules ~92
Remove one or more pronunciation rules from a pronunciation dictionary. Specify the dictionary ID and provide the list of rule strings to be deleted.
| Name | Type | Req | Description |
|---|---|---|---|
| pronunciation_dictionary_id | string | yes | The unique identifier of the pronunciation dictionary from which rules will be removed. |
| rule_strings | array | yes | An array of rule strings to remove from the pronunciation dictionary. Each string represents a rule to be deleted. Order is not significant. |
No output schema declared.
No examples provided.
delete_rag_index Delete RAG Index ~84
Delete a RAG index associated with a knowledge base document. This removes the indexed data used for retrieval-augmented generation on that document.
| Name | Type | Req | Description |
|---|---|---|---|
| documentation_id | string | yes | The unique identifier of the knowledge base document whose RAG index will be deleted. |
| rag_index_id | string | yes | The unique identifier of the RAG index to delete for the specified document. |
No output schema declared.
No examples provided.
delete_secret Delete Secret ~43
Delete a workspace secret. The secret must not be in use by any active configurations before deletion.
| Name | Type | Req | Description |
|---|---|---|---|
| secret_id | string | yes | The unique identifier of the secret to delete. |
No output schema declared.
No examples provided.
delete_tool Delete Tool ~88
Delete a tool from the workspace. Optionally force deletion to remove the tool from all dependent agents and branches regardless of current usage.
| Name | Type | Req | Description |
|---|---|---|---|
| force | boolean | – | Force deletion of the tool even if it is currently used by agents or branches. When enabled, the tool will be automatically removed from all dependent agents and branches. |
| tool_id | string | yes | The unique identifier of the tool to delete. |
No output schema declared.
No examples provided.
delete_transcript Delete Transcript ~41
Permanently delete a transcript by its unique ID. This action cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| transcription_id | string | yes | The unique identifier of the transcript to delete. |
No output schema declared.
No examples provided.
delete_voice Delete Voice ~51
Permanently deletes a voice by its ID. This action cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| voice_id | string | yes | The unique identifier of the voice to delete. You can retrieve available voice IDs from the list voices endpoint. |
No output schema declared.
No examples provided.
delete_voice_sample Delete Voice Sample ~66
Permanently removes a sample from a voice by its ID. This action cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| sample_id | string | yes | The unique identifier of the sample to delete from the specified voice. |
| voice_id | string | yes | The unique identifier of the voice containing the sample to delete. |
No output schema declared.
No examples provided.
delete_whatsapp_account Delete WhatsApp Account ~53
Permanently delete a WhatsApp account and remove it from the ConvAI platform. This action cannot be undone.
| Name | Type | Req | Description |
|---|---|---|---|
| phone_number_id | string | yes | The unique identifier for the WhatsApp phone number account to delete. |
No output schema declared.
No examples provided.
deploy_agent Deploy Agent ~79
Create or update deployments for an agent, specifying which branches to deploy and how to distribute traffic across them.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the agent for which to create or update deployments. |
| requests | array | yes | An ordered list of deployment configurations, each specifying a branch and its traffic allocation strategy. Order may affect deployment precedence. |
No output schema declared.
No examples provided.
design_voice Design Voice ~260
Generate voice design previews based on a detailed description. Returns multiple voice options with audio samples that can be used to create a custom voice.
| Name | Type | Req | Description |
|---|---|---|---|
| loudness | number | – | Volume level adjustment for the generated voice, where -1 is quietest and 1 is loudest. A value of 0 corresponds to approximately -24 LUFS. |
| model_id | string | – | AI model version to use for voice generation. Different models may produce varying quality and multilingual support. |
| output_format | string | – | Audio codec, sample rate, and bitrate for the generated voice samples. Higher bitrates and sample rates require appropriate subscription tiers. |
| quality | number | – | Quality level for voice generation, where higher values produce better output but with less variation across previews. |
| should_enhance | boolean | – | Automatically enhance the voice description with AI-generated details to improve voice generation quality and variety. Expands simple prompts into more comprehensive descriptions. |
| stream_previews | boolean | – | When enabled, voice previews are streamed separately via the stream endpoint instead of being included in the response. Useful for reducing response payload size. |
| voice_description | string | yes | Detailed description of the desired voice characteristics. Used to guide voice generation and should include personality, tone, and acoustic qualities. |
No output schema declared.
No examples provided.
download_dubbed_audio Download Dubbed Audio ~90
Download the dubbed audio file in MP3 or MP4 format for a specific language. Returns the original automatic dub result; for edited dubs created in Dubbing Studio, use the render endpoint instead.
| Name | Type | Req | Description |
|---|---|---|---|
| dubbing_id | string | yes | The unique identifier of the dubbing project containing the dubbed content. |
| language_code | string | yes | The language code specifying which dubbed audio track to retrieve. |
No output schema declared.
No examples provided.
download_pronunciation_dictionary_version Download Pronunciation Dictionary Version ~74
Download a PLS (Pronunciation Lexicon Specification) file containing the rules for a specific version of a pronunciation dictionary.
| Name | Type | Req | Description |
|---|---|---|---|
| dictionary_id | string | yes | The unique identifier of the pronunciation dictionary to retrieve. |
| version_id | string | yes | The unique identifier of the specific version of the pronunciation dictionary to download. |
No output schema declared.
No examples provided.
download_snapshot_archive Download Snapshot Archive ~75
Downloads a compressed archive containing all audio files from a specific Studio project snapshot. Returns the archive as a binary stream ready for download.
| Name | Type | Req | Description |
|---|---|---|---|
| project_id | string | yes | The unique identifier of the Studio project containing the snapshot to archive. |
| project_snapshot_id | string | yes | The unique identifier of the project snapshot to archive and download. |
No output schema declared.
No examples provided.
download_speech_items Download Speech Items ~102
Download one or more speech history items as audio files. Single items are returned as individual audio files, while multiple items are packaged into a .zip archive.
| Name | Type | Req | Description |
|---|---|---|---|
| history_item_ids | array | yes | List of history item IDs to download. Retrieve available IDs and metadata from the list speech history endpoint. Order is preserved in the output archive. |
| output_format | string | – | Audio file format for transcoding. Specify the desired output format for the downloaded audio files. |
No output schema declared.
No examples provided.
dub_media Dub Media ~601
Dubs an audio or video file into a target language with automatic speaker detection and voice synthesis. Supports advanced options for quality control, voice customization, and manual transcript editing.
| Name | Type | Req | Description |
|---|---|---|---|
| csv_file | string | – | Base64-encoded file content for upload. CSV file containing transcription and translation metadata for manual dubbing mode. Used to override automatic transcription and provide custom timing and spea… |
| csv_fps | number | – | Frames per second value to use when parsing timecodes in the CSV file. If omitted, FPS will be automatically inferred from the timecode data. |
| disable_voice_cloning | boolean | – | Whether to use similar voices from the ElevenLabs Voice Library instead of cloning the original speaker's voice. Requires 'add_voice_from_voice_library' workspace permission and consumes available cu… |
| drop_background_audio | boolean | – | Whether to remove background audio from the final dub. Recommended for content like speeches or monologues where background noise should not be preserved. |
| dubbing_studio | boolean | – | Whether to prepare the output for editing in the dubbing studio interface or as a dubbing resource for further processing. |
| end_time | integer | – | End time in seconds at which to stop dubbing the source file. Useful for processing only a segment of the content. |
| highest_resolution | boolean | – | Whether to process and output the video at the highest available resolution. May increase processing time and resource usage. |
| mode | string | – | Processing mode for the dubbing job. Use 'automatic' for standard processing or 'manual' when providing a custom CSV transcript. Manual mode is experimental and not recommended for production use. |
| name | string | – | Human-readable name for the dubbing project to help organize and identify the job. |
| num_speakers | integer | – | Number of distinct speakers to use in the dubbing. Set to 0 to automatically detect the speaker count from the source audio. |
| source_lang | string | – | Language code of the source content using ISO 639-1 or ISO 639-3 format. Set to 'auto' to automatically detect the language. |
| source_url | string | – | URL pointing to the source video or audio file to be dubbed. Must be publicly accessible. |
| start_time | integer | – | Start time in seconds from which to begin dubbing the source file. Useful for processing only a segment of the content. |
| target_accent | string | – | Optional accent preference to apply when selecting voices and informing translation dialect. This is an experimental feature. |
| target_lang | string | – | Language code for the target dub using ISO 639-1 or ISO 639-3 format. Determines which language the content will be dubbed into. |
| use_profanity_filter | boolean | – | Whether to censor profanities in transcripts by replacing them with '[censored]'. This is a beta feature. |
| watermark | boolean | – | Whether to add a watermark overlay to the output video file. |
No output schema declared.
No examples provided.
duplicate_agent Duplicate Agent ~73
Create a new agent by duplicating an existing agent. The new agent will have the same configuration as the source agent, with an optional custom name.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the agent to duplicate. |
| name | string | – | An optional custom name for the duplicated agent to help identify it. |
No output schema declared.
No examples provided.
estimate_agent_llm_cost Estimate Agent LLM Cost ~174
Estimates the expected number of LLM tokens required for an agent based on prompt length, knowledge base content, and RAG configuration. Use this to forecast token consumption and associated costs before deployment.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the agent for which to calculate expected LLM token usage. |
| number_of_pages | integer | – | The total number of pages in PDF documents or URLs indexed in the agent's Knowledge Base. Used to estimate token consumption for RAG retrieval and context injection. |
| prompt_length | integer | – | The length of the input prompt in characters. Used to estimate token consumption for the prompt component. |
| rag_enabled | boolean | – | Whether Retrieval-Augmented Generation (RAG) is enabled for the agent. When enabled, additional tokens are consumed for knowledge base retrieval and context augmentation. |
No output schema declared.
No examples provided.
fetch_agent_response_test_summaries Fetch Agent Response Test Summaries ~63
Retrieve summaries for multiple agent response tests by their IDs. Returns a mapping of test IDs to their corresponding test summary data.
| Name | Type | Req | Description |
|---|---|---|---|
| test_ids | array | yes | List of unique test IDs to retrieve summaries for. Each ID identifies a specific agent response test. |
No output schema declared.
No examples provided.
find_group Find Group ~60
Searches for user groups in the workspace by name. Returns matching group(s) or an empty result if no groups are found.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | The name of the user group to search for. The search will match against group names in the workspace. |
No output schema declared.
No examples provided.
find_similar_voices Find Similar Voices ~137
Find voices from the library that are similar to a provided audio sample. Returns a ranked list of matching voices based on similarity scoring.
| Name | Type | Req | Description |
|---|---|---|---|
| audio_file | string | – | Base64-encoded file content for upload. Audio sample file to match against library voices. Used as the reference for similarity comparison. |
| similarity_threshold | number | – | Similarity threshold for filtering results. Lower values return more similar voices. Valid range is 0 to 2. |
| top_k | integer | – | Maximum number of similar voices to return. If similarity_threshold is also specified, fewer voices may be returned. Valid range is 1 to 100. |
No output schema declared.
No examples provided.
generate_composition_plan Generate Composition Plan ~197
Generate a detailed composition plan from a text prompt, specifying musical structure, styles, and duration for music generation.
| Name | Type | Req | Description |
|---|---|---|---|
| model_id | string | – | The AI model version to use for generating the composition plan. |
| music_length_ms | integer | – | Target duration for the composition in milliseconds. If omitted, the model will automatically determine an appropriate length based on the prompt. |
| negative_global_styles | array | yes | Array of musical styles and directions to exclude from the entire composition. Specify in English for optimal results. |
| positive_global_styles | array | yes | Array of musical styles and directions that should be emphasized throughout the entire composition. Specify in English for optimal results. |
| prompt | string | yes | Text prompt describing the desired composition, musical style, mood, and any specific creative direction. |
| sections | array | yes | Array of song sections defining the structure and progression of the composition. Order matters and determines the sequence of sections in the final output. |
No output schema declared.
No examples provided.
generate_dialogue Generate Dialogue ~345
Converts a list of text and voice ID pairs into multi-voice dialogue audio. Supports up to 10 unique voices per request with configurable audio format, model, stability, and text normalization settings.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_text_normalization | string | – | Text normalization mode: 'auto' applies normalization based on system decision, 'on' always applies it, 'off' disables it. Normalization handles cases like spelling out numbers. |
| inputs | array | yes | Array of dialogue segments, each containing text and a voice ID. Order is preserved in the output. Maximum of 10 unique voice IDs per request. |
| language_code | string | – | ISO 639-1 language code to enforce language for the model and text normalization. Returns an error if the model does not support the specified language. |
| model_id | string | – | Model identifier for text-to-speech conversion. Query available models via GET /v1/models and verify can_do_text_to_speech capability. |
| output_format | – | – | Audio output format specified as codec_sample_rate_bitrate (e.g., mp3_44100_128). MP3 192kbps requires Creator tier or above; PCM and WAV at 44.1kHz require Pro tier or above. μ-law format is commonl… |
| pronunciation_dictionary_locators | array | – | List of pronunciation dictionary locators to apply in order. Each locator contains a pronunciation_dictionary_id and version_id. Maximum of 3 locators per request. |
| stability | number | – | Voice stability control between 0.0 and 1.0. Lower values increase emotional range and variation; higher values produce more monotonous, consistent speech. |
No output schema declared.
No examples provided.
generate_dialogue_stream Generate Dialogue Stream ~371
Converts a list of text and voice ID pairs into multi-voice dialogue speech and streams the audio. Useful for creating conversations, interviews, or multi-speaker content with different voices.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_text_normalization | string | – | Text normalization mode: 'auto' applies normalization automatically based on content (e.g., spelling out numbers), 'on' always applies normalization, 'off' disables it entirely. |
| inputs | array | yes | Array of dialogue turns, each containing text to speak and the voice ID to use. Order matters—items are processed sequentially to create the dialogue flow. Maximum of 10 unique voice IDs per request. |
| language_code | string | – | ISO 639-1 language code to enforce language processing and text normalization. If the selected model doesn't support the specified language, an error will be returned. |
| model_id | string | – | Model identifier for text-to-speech processing. The model must support text-to-speech capability. Query available models via GET /v1/models and check the can_do_text_to_speech property. |
| output_format | string | – | Audio output format specified as codec_sample_rate_bitrate (e.g., mp3_44100_128). Some formats require higher subscription tiers: MP3 192kbps requires Creator tier or above, PCM 44.1kHz requires Pro… |
| pronunciation_dictionary_locators | array | – | List of pronunciation dictionary locators to apply in order. Each locator contains a pronunciation_dictionary_id and version_id. Maximum of 3 locators per request. |
| stability | number | – | Voice stability control between 0.0 and 1.0. Lower values increase emotional range and variability; higher values produce more consistent, monotonous speech. |
No output schema declared.
No examples provided.
generate_dialogue_stream_with_timestamps Generate Dialogue Stream with Timestamps ~327
Converts text and voice ID pairs into streamed dialogue audio with precise timestamps. Returns a continuous stream of JSON objects containing base64-encoded audio chunks and their corresponding timing information.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_text_normalization | string | – | Controls text normalization behavior. 'auto' lets the system decide, 'on' always normalizes (e.g., converts numbers to words), 'off' disables normalization. |
| inputs | array | yes | Array of dialogue turn objects, each pairing text content with a voice ID. Processed in order to create sequential dialogue. Maximum of 10 unique voice IDs per request. |
| language_code | string | – | ISO 639-1 language code to enforce language processing and text normalization. The selected model must support the specified language. |
| model_id | string | – | The TTS model to use for synthesis. Query available models via GET /v1/models and verify can_do_text_to_speech capability. |
| output_format | string | – | Audio codec, sample rate, and bitrate configuration. Format is codec_sample_rate_bitrate (e.g., mp3_44100_128). Higher bitrates and PCM formats require elevated subscription tiers. |
| pronunciation_dictionary_locators | array | – | Ordered list of pronunciation dictionary references to apply custom pronunciations. Applied sequentially in the order provided. Maximum of 3 locators per request. |
| stability | number | – | Controls voice consistency and emotional variation. Lower values (closer to 0) produce greater emotional range and variability. Higher values (closer to 1) produce more consistent, monotonous deliver… |
No output schema declared.
No examples provided.
generate_dialogue_with_timestamps Generate Dialogue with Timestamps ~337
Generate dialogue from text with precise character-level timing information for audio-text synchronization. Each dialogue turn is converted to speech using specified voice IDs and returned with exact timestamp markers.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_text_normalization | string | – | Text normalization mode: 'auto' applies normalization based on system decision, 'on' always applies it, 'off' disables it. Normalization handles cases like spelling out numbers. |
| inputs | array | yes | List of dialogue turns, each containing text to be spoken and the voice ID to use for that turn. Maximum of 10 unique voice IDs per request. Turns are processed in order. |
| language_code | string | – | ISO 639-1 language code to enforce language for the model and text normalization. If the model does not support the specified language, an error will be returned. |
| model_id | string | – | The text-to-speech model to use for generation. Must support text-to-speech capability. Query available models via GET /v1/models to verify can_do_text_to_speech property. |
| output_format | – | – | Audio codec, sample rate, and bitrate format. Format is specified as codec_sample_rate_bitrate (e.g., mp3_44100_128). Higher bitrates and certain formats require higher subscription tiers. |
| pronunciation_dictionary_locators | array | – | Custom pronunciation dictionary rules to apply to the text in order. Each locator references a specific dictionary version. Maximum of 3 locators per request. |
| stability | number | – | Voice stability control affecting emotional range and consistency. Lower values produce broader emotional variation; higher values result in more monotonous, emotionally limited speech. |
No output schema declared.
No examples provided.
generate_podcast Generate Podcast ~406
Generate a podcast by converting source content into audio using AI-powered text-to-speech. Supports both conversational (two-voice dialogue) and bulletin (monologue) formats with customizable quality, duration, language, and styling options.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_text_normalization | string | – | Controls text normalization behavior. 'auto' lets the system decide, 'on' always normalizes, 'apply_english' normalizes assuming English text, and 'off' disables normalization. |
| callback_url | string | – | Webhook URL for conversion status notifications. The service will POST status updates when the project and chapters complete processing, including success/error details. |
| duration_scale | string | – | Target podcast length. Controls the amount of content included in the generated podcast. |
| highlights | array | – | Key themes or highlights summarizing the podcast content. Each highlight should be a brief phrase between 10-70 characters. |
| instructions_prompt | string | – | Custom instructions to guide the podcast generation style, tone, and content treatment. Use this to enforce accuracy, adjust formality, or specify audience appropriateness. |
| intro | string | – | Optional opening text to prepend to the podcast. Useful for branding or context-setting. |
| language | string | – | Two-letter ISO 639-1 language code for the podcast content and voice generation. |
| mode | – | yes | The podcast format type. 'conversation' generates dialogue between two voices (host and guest), while 'bulletin' generates a single-voice monologue. |
| model_id | string | yes | The voice model to use for audio generation. Query GET /v1/models to see all available models. |
| outro | string | – | Optional closing text to append to the podcast. Useful for calls-to-action or sign-offs. |
| quality_preset | string | – | Audio output quality level. Higher quality settings provide better audio fidelity with improved processing. |
| source | – | yes | The content source for podcast generation. Can be a URL, text content, or other supported source formats. |
No output schema declared.
No examples provided.
generate_sound Generate Sound ~215
Generate realistic sound effects from text descriptions using advanced AI models. Perfect for video production, voice-overs, and game audio.
| Name | Type | Req | Description |
|---|---|---|---|
| duration_seconds | number | – | Target duration of the generated sound in seconds. If not specified, the optimal duration will be automatically determined from the text description. |
| loop | boolean | – | Enable seamless looping for the generated sound effect. Only supported with the eleven_text_to_sound_v2 model. |
| model_id | string | – | The AI model to use for sound generation. Determines the quality and capabilities of the generated audio. |
| output_format | string | – | Audio codec, sample rate, and bitrate for the generated sound. Higher bitrates and sample rates require appropriate subscription tiers. |
| prompt_influence | number | – | Controls how strictly the generation adheres to the text description. Higher values produce more consistent results but less variation; lower values allow more creative freedom. |
| text | string | yes | Detailed text description of the sound effect to generate. Be descriptive about the audio characteristics, environment, and desired qualities. |
No output schema declared.
No examples provided.
generate_speech Generate Speech ~614
Converts text into natural-sounding speech using a selected voice and returns audio in your preferred format. Supports voice customization through stability, similarity, style, and speed controls, with optional pronunciation dictionaries and continuity features for multi-part audio generation.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_language_text_normalization | boolean | – | Enables language-specific text normalization for improved pronunciation in supported languages. Currently only supported for Japanese. Warning: may significantly increase request latency. |
| apply_text_normalization | string | – | Controls text normalization behavior. 'auto' lets the system decide, 'on' always applies normalization (e.g., spelling out numbers), and 'off' skips normalization entirely. |
| language_code | string | – | ISO 639-1 language code to enforce a specific language for the model and text normalization. The model must support the specified language or an error will be returned. |
| model_id | string | – | The AI model to use for speech generation. The model must support text-to-speech capability. Defaults to the multilingual v2 model. |
| next_request_ids | array | – | Request IDs of audio samples that follow this generation. Useful for maintaining natural flow when regenerating a sample within a sequence. Maximum of 3 request IDs. Works best with the same model ac… |
| output_format | string | – | The audio format and quality for the generated speech, specified as codec_sample_rate_bitrate. Higher bitrates and sample rates require higher subscription tiers. Defaults to MP3 at 44.1kHz with 128k… |
| previous_request_ids | array | – | Request IDs of previously generated audio samples to maintain continuity when splitting large tasks. Improves speech flow when combining multiple generations. Maximum of 3 request IDs. Works best wit… |
| pronunciation_dictionary_locators | array | – | A list of pronunciation dictionary locators to apply to the text in order. Each locator contains a pronunciation_dictionary_id and version_id. Maximum of 3 locators per request. |
| similarity_boost | number | – | Controls how closely the generated speech adheres to the original voice characteristics. Higher values maintain stronger voice similarity, while lower values allow more variation. |
| speed | number | – | Adjusts speech playback speed. A value of 1.0 is normal speed; values below 1.0 slow down speech, while values above 1.0 speed it up. |
| stability | number | – | Controls voice consistency and emotional range. Lower values (closer to 0) produce more varied emotional expression, while higher values (closer to 1) create more consistent but potentially monotonou… |
| style | number | – | Amplifies the stylistic characteristics of the voice. A value of 0 applies no style exaggeration. Higher values increase style intensity but may increase latency and computational usage. |
| text | string | yes | The text content to be converted into speech. |
| voice_id | string | yes | The unique identifier of the voice to use for speech generation. Available voices can be retrieved from the voices endpoint. |
No output schema declared.
No examples provided.
generate_speech_stream Generate Speech Stream ~520
Converts text into streaming audio using a specified voice. Returns audio as a continuous stream in your chosen format, ideal for real-time playback or large content.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_language_text_normalization | boolean | – | Enable language-specific text normalization for proper pronunciation. Currently supported for Japanese only. Warning: significantly increases request latency. |
| apply_text_normalization | string | – | Text normalization mode: 'auto' applies normalization automatically, 'on' always applies it, 'off' disables it. Normalization handles number spelling and similar conversions. |
| language_code | string | – | ISO 639-1 language code to enforce language processing and text normalization. The model must support the specified language. |
| model_id | string | – | The AI model to use for speech generation. Must support text-to-speech capability. Query available models via the models endpoint. |
| next_request_ids | array | – | Request IDs from samples that follow this generation. Maintains natural flow when regenerating a sample within a sequence. Maximum 3 IDs, best results with consistent model. |
| output_format | string | – | Audio output format specified as codec_sample_rate_bitrate (e.g., mp3_44100_128). Higher bitrates and PCM formats require higher subscription tiers. |
| previous_request_ids | array | – | Request IDs from previously generated samples to maintain speech continuity. Improves flow when splitting large tasks across multiple requests. Maximum 3 IDs, best results with consistent model. |
| pronunciation_dictionary_locators | array | – | Pronunciation dictionary locators to apply custom pronunciation rules. Specified as objects with pronunciation_dictionary_id and version_id. Applied in order, maximum 3 per request. |
| similarity_boost | number | – | Voice similarity adherence between 0.0 and 1.0. Controls how closely the generated speech matches the original voice characteristics. |
| speed | number | – | Speech speed multiplier. Use 1.0 for normal speed, values below 1.0 to slow down, and values above 1.0 to speed up. |
| stability | number | – | Voice stability control between 0.0 and 1.0. Lower values increase emotional range and variation; higher values produce more consistent, monotonous speech. |
| style | number | – | Style exaggeration intensity. Amplifies the speaker's original style characteristics. Non-zero values increase computational cost and latency. |
| text | string | yes | The text content to convert into speech. |
| voice_id | string | yes | The voice to use for speech generation. Available voices can be retrieved from the voices endpoint. |
No output schema declared.
No examples provided.
generate_speech_stream_with_timestamps Generate Speech Stream with Timestamps ~536
Converts text to speech audio and returns a stream of JSON objects containing base64-encoded audio chunks with character-level timing information, enabling precise synchronization of audio with text.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_language_text_normalization | boolean | – | Enable language-specific text normalization for improved pronunciation in supported languages. Currently only supports Japanese. Warning: may significantly increase request latency. |
| apply_text_normalization | string | – | Text normalization mode: 'auto' applies normalization when appropriate, 'on' always applies it, 'off' disables it. Normalization handles conversions like spelling out numbers. |
| language_code | string | – | ISO 639-1 language code to enforce language-specific processing and text normalization. The model must support the specified language. |
| model_id | string | – | The model identifier for speech synthesis. The model must support text-to-speech conversion. Available models can be queried from the models endpoint. |
| next_request_ids | array | – | Request IDs from subsequent speech samples to maintain continuity. Accepts up to 3 IDs applied in order. Useful when regenerating a sample while preserving natural flow with following content. |
| output_format | string | – | Audio output format specified as codec_sample_rate_bitrate (e.g., mp3_44100_128). Higher bitrates and PCM formats require higher subscription tiers. |
| previous_request_ids | array | – | Request IDs from previously generated speech samples to maintain continuity. Accepts up to 3 IDs applied in order. Improves flow when splitting large tasks across multiple requests. |
| pronunciation_dictionary_locators | array | – | Pronunciation dictionary locators to apply custom pronunciation rules. Accepts up to 3 locators applied in order, each containing a pronunciation_dictionary_id and version_id. |
| similarity_boost | number | – | Voice similarity control ranging from 0 to 1, determining how closely the synthesis adheres to the original voice characteristics. |
| speed | number | – | Speech speed multiplier where 1.0 is normal speed, values below 1.0 slow down speech, and values above 1.0 accelerate it. |
| stability | number | – | Voice stability control ranging from 0 (high emotional range) to 1 (monotonous). Lower values produce more expressive speech with greater variation. |
| style | number | – | Style exaggeration level (0 to 1+) that amplifies the speaker's original style. Non-zero values increase computational cost and latency. |
| text | string | yes | The text content to convert into speech audio. |
| voice_id | string | yes | The voice identifier to use for speech synthesis. Available voices can be retrieved from the voices endpoint. |
No output schema declared.
No examples provided.
generate_speech_with_timestamps Generate Speech with Timestamps ~533
Convert text to speech audio with precise character-level timing information for synchronizing audio playback with text. Returns audio file and timestamp data for each character.
| Name | Type | Req | Description |
|---|---|---|---|
| apply_language_text_normalization | boolean | – | Enable language-specific text normalization for proper pronunciation. Currently supported for Japanese only. Warning: may significantly increase request latency. |
| apply_text_normalization | string | – | Text normalization mode: 'auto' applies normalization automatically, 'on' always applies it, 'off' disables it. Normalization handles conversions like spelling out numbers. |
| language_code | string | – | ISO 639-1 language code to enforce language processing and text normalization. The model must support the specified language. |
| model_id | string | – | The AI model identifier to use for text-to-speech conversion. The model must support text-to-speech capability. |
| next_request_ids | array | – | Request IDs of subsequent speech samples to maintain continuity. Useful for regenerating a sample while preserving natural flow with following audio. Maximum of 3 request IDs. Results are best when u… |
| output_format | string | – | Audio output format specified as codec_sample_rate_bitrate (e.g., mp3_44100_128). Higher bitrates and certain formats require higher subscription tiers. |
| previous_request_ids | array | – | Request IDs of previously generated speech samples to maintain continuity. Used when splitting large tasks across multiple requests. Maximum of 3 request IDs. Results are best when using the same mod… |
| pronunciation_dictionary_locators | array | – | List of pronunciation dictionary locators to apply to the text in order. Each locator contains a pronunciation_dictionary_id and version_id. Maximum of 3 locators per request. |
| similarity_boost | number | – | Voice similarity control ranging from 0 to 1. Higher values make the AI adhere more closely to the original voice characteristics. |
| speed | number | – | Speech speed multiplier where 1.0 is normal speed, values below 1.0 slow down speech, and values above 1.0 speed it up. |
| stability | number | – | Voice stability control ranging from 0 (high emotional range) to 1 (monotonous). Lower values produce more expressive speech with greater variation. |
| style | number | – | Style exaggeration level for the voice. Non-zero values amplify the speaker's style but increase computational resources and latency. |
| text | string | yes | The text content to convert into speech audio. |
| voice_id | string | yes | The voice identifier to use for speech generation. Available voices can be retrieved from the voices endpoint. |
No output schema declared.
No examples provided.
generate_voice_previews Generate Voice Previews ~210
Generate multiple voice preview samples based on a text description to help you select a custom voice. Each preview includes a unique voice ID and audio sample that can be used to create the final voice.
| Name | Type | Req | Description |
|---|---|---|---|
| loudness | number | – | Volume level of the generated voice samples, ranging from quietest to loudest. A value of 0 corresponds to approximately -24 LUFS. |
| output_format | string | – | Audio codec, sample rate, and bitrate for the generated preview samples. Higher bitrates and sample rates provide better quality but require higher subscription tiers. |
| quality | number | – | Voice quality level that balances output fidelity with variety. Higher values produce more consistent, polished voices with less variation across previews. |
| should_enhance | boolean | – | Automatically expand and refine the voice description using AI to add detail and improve generation quality. Useful for simple or brief descriptions. |
| voice_description | string | yes | Detailed description of the desired voice characteristics. The system uses this to generate voice previews matching your specifications. |
No output schema declared.
No examples provided.
get_agent Get Agent ~97
Retrieve the configuration and settings for a specific agent. Optionally specify a particular version or branch to retrieve.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the agent to retrieve. |
| branch_id | string | – | The specific branch of the agent to retrieve. If not provided, the default branch is used. |
| version_id | string | – | The specific version of the agent to retrieve. If not provided, the latest version is used. |
No output schema declared.
No examples provided.
get_agent_analytics Get Agent Analytics ~109
Retrieve analytics data for a specific human agent in the speech-to-text evaluation system. Optionally filter results by creation date range.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the human agent for which to retrieve analytics. |
| created_after | string | – | Filter to include only analytics created on or after this date. Specify in ISO 8601 format. |
| created_before | string | – | Filter to include only analytics created on or before this date. Specify in ISO 8601 format. |
No output schema declared.
No examples provided.
get_agent_branch Get Agent Branch ~58
Retrieve detailed information about a specific agent branch, including its configuration and settings.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the agent that contains the branch. |
| branch_id | string | yes | The unique identifier of the branch to retrieve. |
No output schema declared.
No examples provided.
get_agent_conversation_signed_link Get Agent Conversation Signed Link ~110
Generate a signed URL to initiate a conversation with an authorized agent. The signed URL provides secure access to start a new conversation session.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the agent with which to start the conversation. |
| branch_id | string | – | The specific branch variant of the agent to use for the conversation. |
| include_conversation_id | boolean | – | Whether to include a unique conversation ID in the response. When enabled, the signed URL can only be used once. |
No output schema declared.
No examples provided.
get_agent_share_link Get Agent Share Link ~50
Retrieve the shareable link for an agent that can be used to share the agent with others.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the agent for which to retrieve the share link. |
No output schema declared.
No examples provided.
get_agent_test Get Agent Test ~48
Retrieves a specific agent response test by its ID. Use this to fetch details about a previously created test.
| Name | Type | Req | Description |
|---|---|---|---|
| test_id | string | yes | The unique identifier of the agent response test to retrieve. |
No output schema declared.
No examples provided.
get_agent_widget_config Get Agent Widget Configuration ~81
Retrieve the widget configuration for a specific agent, including settings needed to embed or display the agent's conversational interface.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | The unique identifier of the agent whose widget configuration you want to retrieve. |
| conversation_signature | string | – | An optional expiring token that enables WebSocket conversation initiation. Generate tokens using the conversation signed URL endpoint. |
No output schema declared.
No examples provided.
get_audio_native_settings Get Audio Native Settings ~56
Retrieve player settings and configuration for an Audio Native project. Use this to access the current settings applied to a specific project.
| Name | Type | Req | Description |
|---|---|---|---|
| project_id | string | yes | The unique identifier of the Studio project for which to retrieve Audio Native settings. |
No output schema declared.
No examples provided.
How do I install the com.mcparmory/elevenlabs MCP server?
com.mcparmory/elevenlabs runs locally as a PyPI package, launched with uvx mcparmory-elevenlabs. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · mcparmory-elevenlabs
claude mcp add com-mcparmory-elevenlabs -- uvx mcparmory-elevenlabs
What is the com.mcparmory/elevenlabs MCP server?
com.mcparmory/elevenlabs is an MCP server listed in the public MCP registry as com.mcparmory/elevenlabs. Convert text to speech, transcribe audio, and dub videos with AI voices. This page covers its PyPI package (mcparmory-elevenlabs).
Is the com.mcparmory/elevenlabs MCP server safe to use?
com.mcparmory/elevenlabs scores 66 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the com.mcparmory/elevenlabs MCP server expose?
com.mcparmory/elevenlabs exposes 258 tools: list_speech_history, get_speech_history_item, delete_history_item, get_speech_history_audio, download_speech_items, and 253 more. Their descriptions and schemas cost roughly 38,535 tokens of context every time the server is loaded.
Is the com.mcparmory/elevenlabs MCP server still maintained?
com.mcparmory/elevenlabs is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the com.mcparmory/elevenlabs MCP server under?
com.mcparmory/elevenlabs declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.