Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

com.mcparmory/elevenlabs

PYPI · MCPARMORY-ELEVENLABS · 2 COMPONENTS

Convert text to speech, transcribe audio, and dub videos with AI voices

+13 this week 81 Trust /100

Last scanned (2 hours ago)

Scores higher than 83% of PyPI servers

Category Design and Media

Trust breakdown (7 categories)

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 Security100
  • No malware found by supply-chain analysis.Pass
  • 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
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 Management87
  • Stability observed for 26 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
Changelog

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.

  • 5 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 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
Diagnostics

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 5 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 →

MCP tools · 258 exposed · ~38,535 tokens

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 →

Tool Tokens
update_voice ~200

Update the name, description, labels, and audio samples of a voice you created. Optionally apply background noise removal to improve audio quality.

NameTypeReqDescription
descriptionstring–A brief description of the voice characteristics, tone, and intended use cases.
filesarray–Base64-encoded file content for upload. Audio files to add to the voice. Supported formats include MP3, WAV, and other common audio formats.
labels––Metadata labels describing the voice. Supported keys include language (ISO 639-1 code), accent (BCP 47 tag), gender, and age.
namestringyesThe display name for this voice, shown in voice selection dropdowns.
remove_background_noiseboolean–Enable automatic background noise removal from audio samples using audio isolation. Only use if samples contain background noise, as it may degrade quality otherwise.
voice_idstringyesThe unique identifier of the voice to update.

No output schema declared.

No examples provided.

update_voice_pvc ~128

Update metadata for a PVC (Professional Voice Clone) voice, including name, language, description, and classification labels.

NameTypeReqDescription
descriptionstring–Detailed description of the voice characteristics and intended use cases.
labelsobject–Classification labels for the voice including language, accent, gender, and age characteristics.
languagestring–Language code of the voice samples (e.g., 'en' for English).
namestring–Display name for the voice as shown in voice selection interfaces.
voice_idstringyesThe unique identifier of the voice to update.

No output schema declared.

No examples provided.

update_voice_sample ~228

Update a PVC voice sample by applying noise removal, selecting speakers, adjusting trim times, or changing the file name. Changes are applied to the specified sample within a voice model.

NameTypeReqDescription
file_namestring–The name to assign to the audio file for PVC training purposes.
remove_background_noiseboolean–Enable background noise removal using audio isolation. Only apply if the sample contains background noise, as it may degrade quality otherwise.
sample_idstringyesThe unique identifier of the voice sample to update.
selected_speaker_idsarray–List of speaker IDs to use for PVC training. Sending a new list will replace any previously selected speakers for this sample.
trim_end_timeinteger–The end time of the audio segment to use for PVC training, specified in milliseconds from the beginning of the file.
trim_start_timeinteger–The start time of the audio segment to use for PVC training, specified in milliseconds from the beginning of the file.
voice_idstringyesThe unique identifier of the voice model containing the sample to update.

No output schema declared.

No examples provided.

update_whatsapp_account ~118

Update configuration settings for a WhatsApp account, including agent assignment and messaging capabilities. Changes take effect immediately.

NameTypeReqDescription
assigned_agent_idstring–The ID of the agent to assign to this WhatsApp account for handling conversations.
enable_audio_message_responseboolean–Enable or disable automatic audio message response capability for this WhatsApp account.
enable_messagingboolean–Enable or disable messaging functionality for this WhatsApp account.
phone_number_idstringyesThe unique identifier for the WhatsApp phone number account to update.

No output schema declared.

No examples provided.

upload_agent_avatar ~88

Upload and set a profile image for an agent that will be displayed in the chat widget.

NameTypeReqDescription
agent_idstringyesThe unique identifier of the agent to update with the new avatar image.
avatar_filestringyesBase64-encoded file content for upload. An image file to use as the agent's avatar. The file will be processed and stored for display in the widget.

No output schema declared.

No examples provided.

upload_file ~93

Upload an image or PDF file to a conversation. Returns a unique file ID for referencing the file in subsequent conversation messages.

NameTypeReqDescription
conversation_idstringyesThe unique identifier of the conversation to which the file will be uploaded.
filestringyesBase64-encoded file content for upload. The image or PDF file to upload. Supported formats include common image types (JPEG, PNG, etc.) and PDF documents.

No output schema declared.

No examples provided.

upload_knowledge_base_document ~92

Upload a file to create a new knowledge base document that the agent can access and reference when interacting with users.

NameTypeReqDescription
filestringyesBase64-encoded file content for upload. The file content to upload as a knowledge base document. Accepts binary file formats for documentation.
namestring–A human-readable name for the document. If not provided, a default name will be generated.

No output schema declared.

No examples provided.

upload_song ~87

Upload a music file for use in inpainting workflows. This operation is restricted to enterprise clients with access to the inpainting feature.

NameTypeReqDescription
extract_composition_planboolean–Whether to generate and return the composition plan for the uploaded song. Enabling this increases response latency.
filestringyesBase64-encoded file content for upload. The audio file to upload in binary format.

No output schema declared.

No examples provided.

Install

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

# add to Claude Code
claude mcp add com-mcparmory-elevenlabs -- uvx mcparmory-elevenlabs
Common questions

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 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 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 5 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.