Media MCP

Name: Media MCP
Author: avclabs

by avclabsversion 0.2.0i★ –iRuns on your computer

Registry nameio.github.avclabs/media-mcp

Install

Overview

Description from the maker (original English)

MCP Server for video enhancement and image segmentation (SAM3)

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "media": {
      "command": "npx",
      "args": [
        "-y",
        "@avclabs.ai/media-mcp"
      ],
      "env": {
        "API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add media --env API_KEY=your-value -- npx -y @avclabs.ai/media-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "media": {
      "command": "npx",
      "args": [
        "-y",
        "@avclabs.ai/media-mcp"
      ],
      "env": {
        "API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "media": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@avclabs.ai/media-mcp"
      ],
      "env": {
        "API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

API_KEY secret required env
API Key for video enhancement and SAM3 services

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account avclabs, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2757 servers in this category
Published to the registry more recently than 8% of the other 2757 servers in this category
Basic checks equal to or better than 100% of the other 2757 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Media MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

by GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago

Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago

Install

Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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_status variant 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 also works; the snippets use the explicit -p 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/ (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.

Media MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

media-mcp monorepo

Packages

Why one function per package

Quick start

Repository layout

Development and release

License