io.github.legolev/mediamcp
NPM · MEDIAMCP
Generate and edit images and video via OpenRouter or any OpenAI-compatible API.
Available components
Last scanned (22 hours ago)
Scores higher than 91% of npm 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 Security90
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known high-severity CVE affects zod 3.25.76, reached via jimp > @jimp/plugin-blit > zod. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 50 of 154 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to legolev/mediamcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 77 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability71
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1322 tokens (~220/item across 6 items; 6 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 Management67
- Stability observed for 20 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
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 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 −5
- Stability: pass → 0.67 functional
- 29 Oct 26 +1
- Stability: 0.97 → pass security
- 28 Oct 26 −1
- Stability: pass → 0.97 functional
- 24 Oct 26 −2
- CVE-2023-54404 affects this package: high ▼ security
- Known CVEs: pass → fail ▼ security
- 22 Oct 26 0
- Stability: 0.97 → pass security
- 21 Oct 26 0
- Stability: pass → 0.97 functional
- 17 Oct 26 +3
- Stability: 0.80 → pass security
- 16 Oct 26 −3
- Stability: pass → 0.80 functional
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 npm/mediamcp@0.3.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | legolev/mediamcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/legolev/mediamcp/.github/workflows/release.yml@refs/tags/v0.3.0 |
| Rekor log index | 2501455372 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:ed9a9073d0b2ca708006d13a66453819d1877d0aacd0ae7dd624499a1b35497606fe74cbfc8672c58cef42edfe444e6425005b57fb48dc12eafca33ad |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-mrhx-c7xc-m3w5 | CVE-2023-54404 | high | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 154 packages
| Packages resolved | 154 |
|---|---|
| Stale | 50 |
| 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 →
check_config Check mediamcp Configuration ~64
Diagnose the mediamcp server setup: endpoint, API key presence and validity, default models, and output directory writability. Run this first when any other mediamcp tool fails.
| Name | Type | Req | Description |
|---|---|---|---|
| ping | boolean | – | Also verify the API key against the endpoint with a live request. |
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | yes | Masked key or 'not set' |
| api_key_source | string | – | – |
| base_url | string | yes | – |
| image_model | string | yes | – |
| key_check | string | – | – |
| ok | boolean | yes | – |
| output_dir | string | yes | – |
| output_dir_writable | boolean | yes | – |
| preview | string | yes | – |
| problems | array | yes | – |
| schema_dialect | string | yes | JSON Schema dialect the tool schemas are advertised in |
| version | string | yes | – |
| video_model | string | yes | – |
No examples provided.
check_video_status Check Video Status ~136
Check a previously started video generation job (from generate_video's polling_url or video id). If the job has completed, downloads the video, saves it to disk, and returns the absolute path.
| Name | Type | Req | Description |
|---|---|---|---|
| filename_prefix | string | – | Short label used in the saved filename, e.g. 'hero-banner'. Sanitized to letters, digits, dashes. |
| output_dir | string | – | Directory to save into (absolute, or ~ for home). Defaults to the configured output directory. |
| polling_url | string | – | The polling_url returned by generate_video. |
| video_id | string | – | Alternatively, the raw video job id. |
| Name | Type | Req | Description |
|---|---|---|---|
| message | string | – | – |
| path | string | – | Absolute path of the saved video, when completed |
| polling_url | string | – | Pass to check_video_status to resume waiting |
| status | string | yes | completed | pending | in_progress | timeout | failed | error |
| video_id | string | – | – |
No examples provided.
edit_image Edit Image ~238
Edit or transform existing image(s) with a text instruction — restyle, add or remove elements, change background, or combine several images into one scene. The result is saved to disk and its absolute path is returned, along with a small inline preview.
| Name | Type | Req | Description |
|---|---|---|---|
| filename_prefix | string | – | Short label used in the saved filename, e.g. 'hero-banner'. Sanitized to letters, digits, dashes. |
| images | array | yes | Source image(s): absolute file paths, file:// URLs, https:// URLs, or data: URLs. Pass several images for composition or style-transfer edits. |
| model | string | – | Model slug, e.g. 'google/gemini-2.5-flash-image' or 'openai/gpt-5-image'. Omit to use the configured default. Call list_models to see options. |
| output_dir | string | – | Directory to save into (absolute, or ~ for home). Defaults to the configured output directory. |
| prompt | string | yes | Instruction describing the edit, e.g. 'remove the background', 'make it night time', 'combine these two photos into one scene'. |
| Name | Type | Req | Description |
|---|---|---|---|
| failed | array | yes | Error messages for variations that failed |
| images | array | yes | – |
No examples provided.
generate_image Generate Image ~231
Generate one or more images from a text prompt using a cloud AI model. Every image is saved to disk and its absolute path is returned, along with a small inline preview. Use edit_image instead when starting from an existing image.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | Desired aspect ratio. Support varies by model; treated as a strong hint. |
| count | integer | – | Number of variations to generate (1-4, parallel requests, billed per image). |
| filename_prefix | string | – | Short label used in the saved filename, e.g. 'hero-banner'. Sanitized to letters, digits, dashes. |
| model | string | – | Model slug, e.g. 'google/gemini-2.5-flash-image' or 'openai/gpt-5-image'. Omit to use the configured default. Call list_models to see options. |
| output_dir | string | – | Directory to save into (absolute, or ~ for home). Defaults to the configured output directory. |
| prompt | string | yes | Detailed description of the desired result. Be specific about subject, style, lighting, composition. |
| Name | Type | Req | Description |
|---|---|---|---|
| failed | array | yes | Error messages for variations that failed |
| images | array | yes | – |
No examples provided.
generate_video Generate Video ~519
Generate a video from a text prompt, and optionally from an input image (image-to-video). Async job: starts generation, then waits and polls. Video generation typically takes 1-5 minutes. The finished file is saved to disk and its absolute path is returned. If waiting times out, a polling_url is returned — pass it to check_video_status later instead of starting a new (billed) job. For image-to-video, pass first_frame_image so the clip animates from that exact picture (e.g. a still produced by generate_image). Image inputs require an image-to-video-capable model such as 'bytedance/seedance-2.0', 'bytedance/seedance-2.0-fast', or 'google/veo-3.1'.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | Desired aspect ratio. Support varies by model; treated as a strong hint. |
| duration_seconds | integer | – | Clip length in seconds (model-dependent). |
| filename_prefix | string | – | Short label used in the saved filename, e.g. 'hero-banner'. Sanitized to letters, digits, dashes. |
| first_frame_image | string | – | Image-to-video: the generated clip starts on this exact image and animates forward. Accepts an absolute file path, file:// URL, https:// URL, or data: URL. |
| generate_audio | boolean | – | Whether the clip should include generated audio. |
| last_frame_image | string | – | Optional ending frame the clip animates toward. Same accepted formats as first_frame_image. |
| model | string | – | Video model slug, e.g. 'google/veo-3.1' or 'openai/sora-2-pro'. For image-to-video use an i2v-capable model like 'bytedance/seedance-2.0' or 'bytedance/seedance-2.0-fast'. Omit to use the configured… |
| output_dir | string | – | Directory to save into (absolute, or ~ for home). Defaults to the configured output directory. |
| prompt | string | yes | Detailed description of the desired result. Be specific about subject, style, lighting, composition. |
| reference_images | array | – | Style/content reference image(s) that guide the look without being exact frames (reference-to-video). Same accepted formats as first_frame_image. |
| resolution | string | – | Output resolution (model-dependent). |
| wait_seconds | integer | – | How long to wait for completion before returning a resumable polling_url. |
| Name | Type | Req | Description |
|---|---|---|---|
| message | string | – | – |
| path | string | – | Absolute path of the saved video, when completed |
| polling_url | string | – | Pass to check_video_status to resume waiting |
| status | string | yes | completed | pending | in_progress | timeout | failed | error |
| video_id | string | – | – |
No examples provided.
list_models List Media Models ~68
List image- and video-capable model slugs available on the configured endpoint, with pricing where known. Use this to pick a `model` value for generate_image, edit_image, or generate_video.
| Name | Type | Req | Description |
|---|---|---|---|
| refresh | boolean | – | Bypass the 1h cache and re-query the endpoint. |
| Name | Type | Req | Description |
|---|---|---|---|
| models | array | yes | – |
| note | string | – | – |
| source | string | yes | 'live' = queried from the endpoint, 'curated' = built-in fallback |
No examples provided.
How do I install the io.github.legolev/mediamcp MCP server?
io.github.legolev/mediamcp runs locally as an npm package, launched with npx -y mediamcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · mediamcp
claude mcp add legolev-mediamcp -- npx -y mediamcp
What is the io.github.legolev/mediamcp MCP server?
io.github.legolev/mediamcp is an MCP server listed in the public MCP registry as io.github.legolev/mediamcp. Generate and edit images and video via OpenRouter or any OpenAI-compatible API. This page covers its npm package (mediamcp).
Is the io.github.legolev/mediamcp MCP server safe to use?
io.github.legolev/mediamcp scores 87 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 4 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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 io.github.legolev/mediamcp MCP server expose?
io.github.legolev/mediamcp exposes 6 tools: generate_image, edit_image, generate_video, check_video_status, list_models, check_config. Their descriptions and schemas cost roughly 1,256 tokens of context every time the server is loaded.
Is the io.github.legolev/mediamcp MCP server still maintained?
io.github.legolev/mediamcp 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 io.github.legolev/mediamcp MCP server under?
io.github.legolev/mediamcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.