TMDB MCP Server: Effortless Media Mastery & Lightning Workflows

TMDB MCP Server: Effortless media mastery. Fast, secure, and intuitive. Power your projects with seamless data and lightning workflows. #MovieMagic

Visit Repository

✨ Research And Data

4.3(73 reviews)

109 saves

51 comments

88% of users reported increased productivity after just one week

About TMDB MCP Server

What is TMDB MCP Server: Effortless Media Mastery & Lightning Workflows?

TMDB MCP Server acts as a bridge between AI assistants and The Movie Database (TMDB) API, enabling seamless integration via the Model Context Protocol (MCP). This intermediary server simplifies access to comprehensive movie metadata, including titles, release dates, and detailed descriptions, while abstracting API complexities. Designed for developers seeking to streamline media-centric applications, it empowers AI systems with rapid, structured data retrieval to fuel dynamic workflows.

How to Use TMDB MCP Server: Effortless Media Mastery & Lightning Workflows?

To leverage this tool, initiate by installing dependencies and configuring the server with your TMDB API key. Users then interact through MCP-compliant interfaces, issuing commands like search_movies with parameters such as query and year. For instance, querying "Inception" with a specified release year returns precise results. Configuration files require path adjustments to the server’s entry point, ensuring secure API authentication without compromising operational efficiency.

TMDB MCP Server Features

Key Features of TMDB MCP Server: Effortless Media Mastery & Lightning Workflows?

This server boasts robust capabilities such as granular search filters (e.g., genre, runtime), real-time metadata updates, and adaptive pagination support. Notably, it handles rate-limiting automatically, safeguarding against API overuse. The MCP interface ensures compatibility with diverse AI frameworks, while the modular architecture allows developers to extend functionalities without disrupting core operations.

Use Cases of TMDB MCP Server: Effortless Media Mastery & Lightning Workflows?

TMDB MCP Server FAQ

FAQ: TMDB MCP Server & Lightning Workflows

Q: How is error handling managed?
The server logs exceptions and retries failed requests intelligently, with configurable backoff strategies.
Q: Can I filter results by country-specific releases?
Yes, by appending region codes to search queries. Refer to the TMDB docs for supported parameters.
Q: Does it support multi-language metadata?
Yes, via the language parameter, returning titles and descriptions in over 50 languages.
Q: What if I exceed my API quota?
The server emits warnings but requires manual intervention to resolve over-limit states.

Content

TMDB MCP Server

A Model Context Protocol (MCP) server that provides access to The Movie Database (TMDB) API. This server enables AI assistants to search and retrieve movie information through the MCP interface.

Features

Search movies by title, year, and other criteria
Retrieve detailed movie information
Easy integration with MCP-compatible AI assistants

Prerequisites

Node.js >= 18
TMDB API key (get one from TMDB)

Installation

Clone the repository:

git clone https://github.com/rakeshgangwar/tmdb-mcp-server.git
cd tmdb-mcp-server

Install dependencies:

npm install

Build the server:

npm run build

Configuration

Configure the MCP server in your MCP settings file (typically cline_mcp_settings.json):

{
  "mcpServers": {
    "tmdb": {
      "command": "node",
      "args": ["/path/to/tmdb-mcp-server/dist/index.js"],
      "env": {
        "TMDB_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Replace your-api-key-here with your TMDB API key and replace /path/to/ with actual path.

Available Tools

search_movies

Search for movies using The Movie Database API.

Parameters:

query (required): Search query string
year (optional): Filter by release year
page (optional): Page number (default: 1)

Example:

{
  "query": "Inception",
  "year": 2010,
  "page": 1
}

Development

Make your changes in the src directory
Build the project:

npm run build

Test your changes by configuring the MCP server in your settings

Contributing

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -am 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

TMDB API for providing the movie database API
Model Context Protocol for the MCP SDK