mcp-imdb MCP server

A Model Context Protocol (MCP) server for accessing IMDB data.

Original author: Cheng-Lung Sung

Components

Resources

The server implements a simple note storage system with:

• Custom note:// URI scheme for accessing individual notes
• Each note resource has a name, description and text/plain mimetype

Prompts

The server provides a single prompt:

• summarize-notes: Creates summaries of all stored notes
  • Optional "style" argument to control detail level (brief/detailed)
  • Generates prompt combining all current notes with style preference

Tools

The server implements one tool:

• add-note: Adds a new note to the server
  • Takes "name" and "content" as required string arguments
  • Updates server state and notifies clients of resource changes

Configuration

[TODO: Add configuration details specific to your implementation]

Quickstart

Install

Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`

On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

Development/Unpublished Servers Configuration

"mcpServers": {
    "mcp-imdb": {
      "command": "uv",
      "args": [
        "--directory",
        "/git/mcp-imdb",
        "run",
        "mcp-imdb"
      ]
    }
  }

Published Servers Configuration

"mcpServers": {
    "mcp-imdb": {
      "command": "uvx",
      "args": [
        "mcp-imdb"
      ]
    }
  }

Docker

You can run the server as an HTTP SSE (Server-Sent Events) server using Docker.

Building the Docker Image

docker build -t mcp-imdb .

Running the Docker Image

docker run -p 8000:8000 mcp-imdb

The server will be available at `http://localhost:8000/sse` for SSE connections and `http://localhost:8000/messages/` for POST messages.

Docker Compose

You can also use Docker Compose to run the server. Create a `docker-compose.yml` file:

services:
  mcp-imdb:
    image: ghcr.io/juanmandev/mcp-imdb:latest
    build: .
    ports:
      - "8000:8000"
    restart: always

Then run:

docker-compose up -d

Connecting VS Code GitHub Copilot to Docker

Once the server is running via Docker, add the following to your VS Code `settings.json`:

{
  "github.copilot.chat.mcpServers": {
    "mcp-imdb": {
      "type": "sse",
      "url": "http://localhost:8000/sse"
    }
  }
}

Development

Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

uv sync

2. Build package distributions:

uv build

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:

uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

• Token: `--token` or `UV_PUBLISH_TOKEN`
• Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging

experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via `npm` with this command:

npx @modelcontextprotocol/inspector uv --directory /git/mcp-imdb run mcp-imdb

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.