About TMDB MCP Server
TMDB MCP Server connects The Movie Database API to MCP for users who want movie information in AI assistants. It provides movie search, details, and similarity queries, plus trending resources and prompts for reviews and recommendations.
Key features
- 01Search movies by title or keywords
- 02Retrieve trending and similar movies
- 03Provide movie-detail resource templates
- 04Movie review and recommendation prompts
Use cases
- 01Find movies on a specific topic
- 02Get film details and similar titles
- 03Generate suggestions by genre and mood
MCP support
The MCP server exposes TMDB movie data through tools, resources, and prompts, including search, trending titles, detail templates, reviews, and recommendations.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETMDB MCP Server
This project implements a Model Context Protocol (MCP) server that integrates with The Movie Database (TMDB) API. It enables AI assistants like Claude to interact with movie data, providing capabilities for searching, retrieving details, and generating content related to movies.
Features
Resources
-
Static Resources:
tmdb://info- Information about TMDB APItmdb://trending- Currently trending movies
-
Resource Templates:
tmdb://movie/{id}- Detailed information about a specific movie
Prompts
- Movie Review: Generate a customized movie review with specified style and rating
- Movie Recommendation: Get personalized movie recommendations based on genres and mood
Tools
- Search Movies: Find movies by title or keywords
- Get Trending Movies: Retrieve trending movies for day or week
- Get Similar Movies: Find movies similar to a specified movie
Setup Instructions
Prerequisites
- Node.js (v16 or later)
- npm or yarn
- TMDB API key
Installation
-
Clone this repository
git clone https://github.com/your-username/tmdb-mcp.git cd tmdb-mcp -
Install dependencies
npm install -
Configure your TMDB API key
- Create a
.envfile in the project root (alternative: editsrc/config.tsdirectly) - Add your TMDB API key:
TMDB_API_KEY=your_api_key_here
- Create a
-
Build the project
npm run build -
Start the server
npm start
Setup for Claude Desktop
- Open Claude Desktop
- Go to Settings > Developer tab
- Click "Edit Config" to open the configuration file
- Add the following to your configuration:
{
"mcpServers": {
"tmdb-mcp": {
"command": "node",
"args": ["/absolute/path/to/your/tmdb-mcp/build/index.js"]
}
}
}
- Restart Claude Desktop
Usage Examples
Using Static Resources
- "What is TMDB?"
- "Show me currently trending movies"
Using Resource Templates
- "Get details about movie with ID 550" (Fight Club)
- "Tell me about the movie with ID 155" (The Dark Knight)
Using Prompts
- "Write a detailed review for Inception with a rating of 9/10"
- "Recommend sci-fi movies for a thoughtful mood"
Using Tools
- "Search for movies about space exploration"
- "What are the trending movies today?"
- "Find movies similar to The Matrix"
Development
Project Structure
tmdb-mcp/
├── src/
│ ├── index.ts # Main server file
│ ├── config.ts # Configuration and API keys
│ ├── handlers.ts # Request handlers
│ ├── resources.ts # Static resources
│ ├── resource-templates.ts # Dynamic resource templates
│ ├── prompts.ts # Prompt definitions
│ ├── tools.ts # Tool implementations
│ └── tmdb-api.ts # TMDB API wrapper
├── package.json
├── tsconfig.json
└── README.md
Testing
Use the MCP Inspector to test your server during development:
npx @modelcontextprotocol/inspector node build/index.js
License
MIT
Acknowledgements
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.