Docker image for installing and running tools for LLM agents (MCP, OpenAPI, UVX, NPX, Python)

Features

• Python / Node.js runtime - includes python, node, uvx, npx
• Includes extra packages for managing MCP/OpenAPI tools and connections
  • mcpo - MCP to OpenAPI bridge
  • supergateway - MCP STDIO/SSE bridge
  • @modelcontextprotocol/inspector - debugging tool for MCP
• Utils: curl, jq, git
• Easy unified cache at /app/cache for all tools

Usage

# Launch MCP tools in stdio mode
docker run ghcr.io/av/tools uvx mcp-server-time

# Bridge from MCP to OpenAPI
docker run -p 8000:8000 ghcr.io/av/tools uvx mcpo -- uvx mcp-server-time --local-timezone=America/New_York
# http://0.0.0.0:8000/docs -> see endpoint documentation

# Run MCP inspector
docker run -p 6274:6274 -p 6277:6277 ghcr.io/av/tools npx @modelcontextprotocol/inspector

# Persist the cache volume for quick restarts
# -v cache:/app/cache - named docker volume
# -v /path/to/my/cache:/app/cache - cache on the host
docker run -v cache:/app/cache ghcr.io/av/tools uvx mcp-server-time

In docker compose:

services:
  time:
    image: ghcr.io/av/tools
    command: uvx mcp-server-time
    volumes:
      - cache:/app/cache

  fetch:
    image: ghcr.io/av/tools
    command: uvx mcpo -- uvx mcp-server-fetch
    ports:
      - 7133:8000
    volumes:
      - cache:/app/cache

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Check out Harbor for a complete dockerized LLM environment.