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mcp-imdb MCP server

@clsung

About mcp-imdb MCP server

MCP Server for IMDB

Basic information

Category

Other

License

MIT

Runtime

python

Transports

stdio

Publisher

clsung

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

1

Adds a new note to the server

Overview

What is mcp-imdb?

mcp-imdb is a Model Context Protocol (MCP) server for accessing IMDB data. It provides a note storage system with custom URI schemes, prompts, and tools.

How to use mcp-imdb?

Install it via Claude Desktop configuration using uv for unpublished servers or uvx for published servers. Alternatively, run it as an HTTP SSE server with Docker (build and run the image, or use Docker Compose). Connect VS Code GitHub Copilot by adding an SSE configuration in settings.json.

Key features of mcp-imdb

  • Custom note:// URI scheme for individual notes
  • summarize-notes prompt with optional style argument
  • add-note tool for adding new notes
  • Runs as an HTTP SSE server via Docker
  • Supports Docker Compose for orchestration
  • Publishable to PyPI with uv publish

Use cases of mcp-imdb

  • Adding notes to the server with name and content
  • Creating summaries of all stored notes with style control
  • Running as a standalone HTTP SSE server for remote connections
  • Integrating with VS Code GitHub Copilot via SSE transport

FAQ from mcp-imdb

How do I install mcp-imdb for Claude Desktop?

Add the appropriate configuration to claude_desktop_config.json: use uv with the directory for unpublished servers or uvx for published servers.

How can I run mcp-imdb with Docker?

Build the image with docker build -t mcp-imdb . and run with docker run -p 8000:8000 mcp-imdb. The server listens on http://localhost:8000/sse.

How do I debug mcp-imdb?

Use the MCP Inspector by running npx @modelcontextprotocol/inspector uv --directory <dir> run mcp-imdb.

How do I publish mcp-imdb to PyPI?

Run uv build to create distributions, then uv publish with PyPI credentials (token or username/password).

What configuration is required for the server?

The README lists configuration as [TODO] and no specific environment variables or auth details are provided.

Comments

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