io.github.avclabs/media-mcp
MCP Server for video enhancement and image segmentation (SAM3)
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
@avclabs.ai/media-mcpclaude mcp add media-mcp -e 'API_KEY=<your api_key>' -- npx -y @avclabs.ai/media-mcp@0.2.0
{
"mcpServers": {
"media-mcp": {
"command": "npx",
"args": [
"-y",
"@avclabs.ai/media-mcp@0.2.0"
],
"env": {
"API_KEY": "<your api_key>"
}
}
}
}
Variables d'environnement
API_KEYobligatoire secret API Key for video enhancement and SAM3 services
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
media-mcp monorepo
English | 中文
MCP servers wrapping the AVCLabs hosted media services, published as one function per npm package so an MCP client session only loads the tool definitions it actually uses.
Packages
| Package | Function | Tools | Bin |
|---|---|---|---|
@avclabs.ai/video-mcp | Video enhancement | create_task, get_task_status, enhance_video_sync | video-mcp |
@avclabs.ai/image-mcp | Image enhancement / colorization / denoising | enhance_image_sync, colorize_image_sync, denoise_image_sync, get_image_task_status | image-mcp |
@avclabs.ai/sam3-mcp | SAM3 image segmentation | sam3_predict, get_sam3_task_status | sam3-mcp |
@avclabs.ai/media-mcp | Legacy all-in-one (all 9 tools) | everything above | media-mcp |
@avclabs.ai/media-mcp-core | Shared internal library (not an MCP server) | — | — |
Why one function per package
- Smaller context: MCP clients inject every tool definition (name, description, JSON schema) of each configured server into the session. A client that only needs image tools no longer pays for video and SAM3 definitions.
- Less tool ambiguity: with a single
get_*_task_statusvariant present, the model picks tools more reliably. - Independent enablement: expose exactly one function per client or per audience (e.g. SAM3 only for the annotation team).
The legacy all-in-one @avclabs.ai/media-mcp keeps working unchanged for
existing configurations; see its README for a
migration note.
Quick start
Every server is a stdio MCP server over npx. For example, image tools only:
{
"mcpServers": {
"image-mcp": {
"command": "npx",
"args": ["-y", "-p", "@avclabs.ai/image-mcp@latest", "image-mcp"],
"env": { "API_KEY": "your-api-key" }
}
}
}
Each package ships exactly one bin named like the package, so plain
npx -y <package> also works; the snippets use the explicit
-p <package> <bin> form because it pins the exact binary regardless of how
a package's bin set evolves.
Each package README (video,
image,
SAM3) has full install instructions for Claude
Code, Cursor, and global installs, plus the configuration variables it reads.
All packages share one API_KEY and the same production host defaults
(https://mcp.avc.ai/enhance and https://mcp.avc.ai/sam).
Repository layout
packages/
core/ shared library: tool registration, polling, TOS upload, config
video-mcp/ video enhancement server (3 tools)
image-mcp/ image processing server (4 tools)
sam3-mcp/ SAM3 segmentation server (2 tools)
media-mcp/ legacy all-in-one server (9 tools)
Domain vocabulary shared across the packages lives in CONTEXT.md; decisions are recorded in docs/adr/.
Development and release
npm ci # installs workspaces and builds every package
npm test # rebuild + run all package tests
npm run release:verify # metadata gate + audit + tests + pack dry-run
node scripts/e2e-check.mjs # stdio E2E for all four server entries
To iterate on one package: build core once (npm run build -w packages/core),
then run npm run dev -w packages/<pkg> (tsc --watch) in another terminal.
Maintainers: see the release guide for publish order (core first), versioning, tags, and smoke tests. Publishing is manual from a clean checkout; the CI workflow runs the same verification gate on Node 22.
License
MIT License — see LICENSE.
Questions fréquentes
Qu'est-ce que io.github.avclabs/media-mcp ?
MCP Server for video enhancement and image segmentation (SAM3)
Comment installer io.github.avclabs/media-mcp ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add media-mcp -e 'API_KEY=<your api_key>' -- npx -y @avclabs.ai/media-mcp@0.2.0. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.avclabs/media-mcp ?
Oui. Il attend API_KEY, à renseigner dans sa configuration.
io.github.avclabs/media-mcp est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient io.github.avclabs/media-mcp ?
Il est publié par avclabs. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.