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drakonkat/wizzy-mcp-tmdb

The wizzy-mcp-tmdb project is an MCP (Model Context Protocol) server implemented in JavaScript that provides tools to search and retrieve information from The Movie Database (TMDB). It allows AI clients to access movie, TV show, and person data through a standardized protocol.

Unclaimed MIT last commit a year ago browser
51Fair

Scored 2 days ago · breakdown

About drakonkat/wizzy-mcp-tmdb

drakonkat/wizzy-mcp-tmdb is an MCP server published by drakonkat in the Browser category: the wizzy-mcp-tmdb project is an MCP (Model Context Protocol) server implemented in JavaScript that provides tools to search and retrieve information from The Movie Database (TMDB). It allows AI clients to access movie, TV show, and person data through a standardized protocol.

The repository has 4 stars and 5 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/drakonkat/wizzy-mcp-tmdb

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 22 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

wizzy-mcp-tmdb

Build Status

Coverage

Project Overview and Purpose

The wizzy-mcp-tmdb project is an MCP (Model Context Protocol) server implemented in JavaScript that provides tools to search and retrieve information from The Movie Database (TMDB). It allows AI clients to access movie, TV show, and person data through a standardized protocol.

Key Features

  • Search Movies: Perform multi-search across movies, TV shows, and people using the search_tmdb tool.
  • Get Details: Fetch detailed information for specific items using the get_tmdb_details tool.
  • Trending Content: Retrieve trending content across all media types with the trending_all tool.

Installation

Prerequisites

  • Node.js version 18 or higher (required for global fetch support)
  • A TMDB API key (Bearer token) from your admin, used with the TNL TMDB proxy (production-api.tnl.one)

Setup

  1. Clone the repository and navigate to the project directory.

  2. Install dependencies:

    npm install
    
  3. Set up your TMDB API key as an environment variable:

    • On Windows PowerShell:

      $env:TMDB_AUTH_TOKEN="YOUR_TNL_PROXY_BEARER_TOKEN"
      
    • On macOS/Linux:

      export TMDB_AUTH_TOKEN="YOUR_TNL_PROXY_BEARER_TOKEN"
      

Usage

Starting the MCP Server

To start the server:

npm start

The server communicates over stdio and should be configured in your MCP-compatible client (e.g., IDE or chat client) with the command node mcp-tmdb-server.js and the TMDB_AUTH_TOKEN environment variable.

MCP Integration Examples

Here are code snippets showing how to integrate with the MCP tools:

Search for Movies

// Example MCP tool call for searching
{
  "method": "tools/call",
  "params": {
    "name": "search_tmdb",
    "arguments": {
      "query": "dune",
      "page": 1,
      "language": "en-US",
      "include_adult": false
    }
  }
}

Get Movie Details

// Example MCP tool call for getting details
{
  "method": "tools/call",
  "params": {
    "name": "get_tmdb_details",
    "arguments": {
      "type": "movie",
      "id": 438631,
      "append": "credits,images"
    }
  }
}

Get Trending Content

// Example MCP tool call for trending content
{
  "method": "tools/call",
  "params": {
    "name": "trending_all",
    "arguments": {
      "time_window": "day",
      "page": 1,
      "language": "en-US"
    }
  }
}

MCP Client Integration

Per integrare questo MCP server nel tuo client MCP (come un IDE o un client di chat compatibile), segui questi passi:

  1. Installa il pacchetto npm se necessario:

    npm install -g wizzy-mcp-tmdb
    
  2. Crea o aggiorna il file mcp.json nel tuo client MCP con la seguente configurazione:

    {
      "mcpServers": {
        "tmdb": {
          "command": "npx",
          "args": ["wizzy-mcp-tmdb"],
          "env": {
            "TMDB_AUTH_TOKEN": "YOUR_TNL_PROXY_BEARER_TOKEN"
          },
          "alwaysAllow": [
            "get_watch_providers",
            "discover_tv",
            "discover_by_provider"
          ]
        }
      }
    }
    

    Nota: Il TMDB_AUTH_TOKEN può essere impostato a un valore casuale per ora, poiché le chiamate API TMDB sono gratuite e non richiedono autenticazione obbligatoria.

Testing Strategy

The project uses Jest for comprehensive testing, including:

  • Unit Tests: Validate individual handler functions, input validation, and response formatting (see tests/unit/handlers.test.js).
  • Integration Tests: Test API interactions with mocked responses, error handling, and network failures (see tests/integration/api.test.js).
  • Protocol Tests: Ensure MCP protocol compliance, including tool listing and calling (see tests/protocol/mcp.test.js).

Run the test suite with:

npm test

For watch mode:

npm run test:watch

Project Structure

wizzy-mcp-tmdb/
├── mcp-tmdb-server.js          # Main MCP server implementation
├── package.json                # Project configuration and dependencies
├── MCP_GUIDE.md                # Detailed MCP integration guide
├── babel.config.cjs            # Babel configuration for Jest
├── tests/
│   ├── unit/
│   │   └── handlers.test.js    # Unit tests for handlers
│   ├── integration/
│   │   └── api.test.js         # Integration tests for API calls
│   └── protocol/
│       └── mcp.test.js         # MCP protocol compliance tests
└── tests/fixtures/             # Mock data for tests
    ├── movieDetails.json
    ├── searchMultiResponse.json
    └── trendingAllResponse.json

Contributing

We welcome contributions! Please follow these guidelines:

  1. Fork the repository.
  2. Create a feature branch.
  3. Make your changes and add tests.
  4. Ensure all tests pass.
  5. Submit a pull request.

License

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

Acknowledgments

  • Thanks to The Movie Database (TMDB) for providing the API.
  • Built using the Model Context Protocol SDK.

Contact

For questions or support, please open an issue on GitHub.

README fetched from the repository 22 hours ago. The original is authoritative.

Questions

About drakonkat/wizzy-mcp-tmdb

How do I install drakonkat/wizzy-mcp-tmdb?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is drakonkat/wizzy-mcp-tmdb safe to use with an AI agent?

Its trust score is 51 out of 100 (fair). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is drakonkat/wizzy-mcp-tmdb still maintained?

The last commit was a year ago and 3 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.