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PopNx MCPMCP servers for people who use AI · explained in plain words

Mixpeek

by mixpeekversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.mixpeek/mcp-server

Install

Overview

Description from the maker (original English)

Give your agent eyes. Search video, images, and audio via the Mixpeek multimodal retrieval API.

PopNx MCP’s three pillars

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

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: MIXPEEK_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: MIXPEEK_API_KEY, MIXPEEK_NAMESPACE, MIXPEEK_API_BASE

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?

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": {
    "mixpeek": {
      "command": "npx",
      "args": [
        "-y",
        "@mixpeek/mcp"
      ],
      "env": {
        "MIXPEEK_API_KEY": "your-value",
        "MIXPEEK_NAMESPACE": "your-value",
        "MIXPEEK_API_BASE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add mixpeek --env MIXPEEK_API_KEY=your-value --env MIXPEEK_NAMESPACE=your-value --env MIXPEEK_API_BASE=your-value -- npx -y @mixpeek/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": {
    "mixpeek": {
      "command": "npx",
      "args": [
        "-y",
        "@mixpeek/mcp"
      ],
      "env": {
        "MIXPEEK_API_KEY": "your-value",
        "MIXPEEK_NAMESPACE": "your-value",
        "MIXPEEK_API_BASE": "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": {
    "mixpeek": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mixpeek/mcp"
      ],
      "env": {
        "MIXPEEK_API_KEY": "your-value",
        "MIXPEEK_NAMESPACE": "your-value",
        "MIXPEEK_API_BASE": "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

  • MIXPEEK_API_KEY secret required env
    Your Mixpeek API key (https://mixpeek.com)
  • MIXPEEK_NAMESPACE env
    Default namespace; sent as the X-Namespace header
  • MIXPEEK_API_BASE env
    Override the API base URL (default: https://api.mixpeek.com)

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mixpeek, 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 2193 servers in this category
  • Published to the registry more recently than 6% of the other 2193 servers in this category
  • Basic checks equal to or better than 100% of the other 2193 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 Mixpeek 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: MIXPEEK_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 (0.1.1) reached the registry 7 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, Python (uv) 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

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’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.

Mixpeek MCP Server

A lightweight, production-friendly Model Context Protocol (MCP) server for Mixpeek that:

  • Auto-loads Mixpeek's OpenAPI spec and exposes endpoints as MCP tools
  • Supports local and hosted use (bring-your-own API key)
  • Injects Authorization and X-Namespace headers
  • Includes rate limits, timeouts, and redacted logs
  • Ships with Docker and simple configuration
Quickstart
  1. Install

Python (PyPI):

# global (recommended)

pipx install mixpeek-mcp

or in a venv

python -m venv .venv && source .venv/bin/activate pip install mixpeek-mcp

npm (Node):

# run once

npx @mixpeek/mcp

or install globally

npm i -g @mixpeek/mcp

Homebrew (macOS):

# tap and install (once the tap is live)

brew tap mixpeek/tap https://github.com/mixpeek/homebrew-tap brew install mixpeek-mcp

temporary local formula (dev/testing):

brew install --build-from-source Formula/mixpeek-mcp.rb

  1. Configure (env or your MCP client secret store)
cp env.sample .env

edit as needed

Env vars:

  • MIXPEEK_API_KEY: Your Mixpeek API key (optional if endpoints don't require auth)
  • MIXPEEK_API_BASE: Default https://api.mixpeek.com
  • MIXPEEK_OPENAPI_URL: Defaults to /openapi.json (or /docs/openapi.json)
  • MIXPEEK_NAMESPACE: Optional namespace value to send via X-Namespace
  • MCP_RATE_MAX_CALLS: Default 20 per MCP_RATE_PER_SECONDS
  • MCP_RATE_PER_SECONDS: Default 10
  • MCP_CONNECT_TIMEOUT: Default 5
  • MCP_READ_TIMEOUT: Default 30
  1. Run locally (stdio)
# PyPI

mixpeek-mcp

from source

python server.py

npm

mixpeek-mcp

Your MCP client (e.g., Claude Desktop) can attach to this server via stdio.

Docker
docker build -t mixpeek-mcp:latest .

docker run --rm -it \ -e MIXPEEK_API_KEY=sk_... \ -e MIXPEEK_NAMESPACE=your_namespace \ mixpeek-mcp:latest

Or pull and run (once published):

docker run --rm -it \

-e MIXPEEK_API_KEY=sk_... \ -e MIXPEEK_NAMESPACE=your_namespace \ ghcr.io/mixpeek/mcp:latest

Distribution
  • npm: @mixpeek/mcp → https://www.npmjs.com/package/@mixpeek/mcp
  • PyPI: mixpeek-mcp → https://pypi.org/project/mixpeek-mcp/ (publish pending)
  • Docker Hub: mixpeek/mcp (pending push), GHCR: ghcr.io/mixpeek/mcp (pending push)
  • Homebrew: mixpeek/tap/mixpeek-mcp (tap repo to be created)
Submit to Docker MCP Registry

We prepared registry.json compatible with the Official Docker MCP Registry. To submit:

  1. Fork the registry and create a new entry under the appropriate directory per their CONTRIBUTING guide.
  2. Include our registry.json (update Docker image reference if you publish under a different org/tag).
  3. Open a PR. Upon approval, it will appear in the MCP catalog and Docker Desktop's MCP Toolkit.
Configuration

Required for write-protected endpoints:

  • MIXPEEK_API_KEY: Authorization: Bearer

Optional:

  • MIXPEEK_NAMESPACE: sets X-Namespace for isolation
  • MIXPEEK_API_BASE: defaults to https://api.mixpeek.com; testing: https://server-xb24.onrender.com
  • MIXPEEK_OPENAPI_URL: defaults to /openapi.json (or /docs/openapi.json)
  • MCP_RATE_MAX_CALLS / MCP_RATE_PER_SECONDS: simple token bucket
  • MCP_CONNECT_TIMEOUT / MCP_READ_TIMEOUT: request timeouts
How it works
  • Loads OpenAPI spec and maps GET/POST JSON endpoints to tools using operationId
  • Tool arguments accept top-level query parameters or a query/body envelope
  • Forwards requests to Mixpeek with configured headers
  • Provides small allowlist (configurable) and redacts secrets in logs
Testing

Unit tests:

pip install -r requirements.txt

pytest -q

Live test (optional):

export LIVE_MIXPEEK_API_KEY=sk_...

export LIVE_MIXPEEK_OPENAPI_URL=https://server-xb24.onrender.com/docs/openapi.json export LIVE_MIXPEEK_API_BASE=https://server-xb24.onrender.com pytest -q tests/test_live_integration.py

Using with MCP clients
  • This server uses MCP stdio transport and the official server interface, compatible with common MCP clients.
  • Start the server, then point your MCP client to the stdio command (mixpeek-mcp).
References
  • Mixpeek docs: https://docs.mixpeek.com/overview/introduction
  • Mixpeek OpenAPI: https://api.mixpeek.com/docs/openapi.json
  • MCP overview: https://modelcontextprotocol.io/docs/getting-started/intro
Notes
  • For production hosting, front with HTTPS, add SSO/session issuance, per-tenant rate limits, and audit logs without bodies/headers. Keep local stdio as the default; hosted HTTP/SSE can be added later.
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