https://github.com/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.
https://github.com/drakonkat/wizzy-mcp-tmdb
Last synced: about 1 month ago
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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.
- Host: GitHub
- URL: https://github.com/drakonkat/wizzy-mcp-tmdb
- Owner: drakonkat
- License: mit
- Created: 2025-09-30T09:52:05.000Z (about 1 month ago)
- Default Branch: master
- Last Pushed: 2025-09-30T10:10:56.000Z (about 1 month ago)
- Last Synced: 2025-09-30T10:52:28.007Z (about 1 month ago)
- Language: JavaScript
- Size: 0 Bytes
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
Awesome Lists containing this project
- awesome-mcp-servers - **drakonkat/wizzy-mcp-tmdb π βοΈ** - A MCP server for The Movie Database API that enables AI assistants to search and retrieve movie, TV show, and person information. `api` `database` `http` `ai` `git` (π¦ Other)
README
# wizzy-mcp-tmdb
[](https://github.com/drakonkat/wizzy-mcp-tmdb/actions)
[](https://codecov.io/gh/drakonkat/wizzy-mcp-tmdb)
## 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:
```bash
npm install
```
3. Set up your TMDB API key as an environment variable:
- On Windows PowerShell:
```powershell
$env:TMDB_AUTH_TOKEN="YOUR_TNL_PROXY_BEARER_TOKEN"
```
- On macOS/Linux:
```bash
export TMDB_AUTH_TOKEN="YOUR_TNL_PROXY_BEARER_TOKEN"
```
## Usage
### Starting the MCP Server
To start the server:
```bash
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
```javascript
// 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
```javascript
// 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
```javascript
// 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:
```bash
npm install -g wizzy-mcp-tmdb
```
2. Crea o aggiorna il file `mcp.json` nel tuo client MCP con la seguente configurazione:
```json
{
"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` puΓ² essere impostato a un valore casuale per ora, poichΓ© 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:
```bash
npm test
```
For watch mode:
```bash
npm run test:watch
```
## Project Structure
```
wizzy-mcp-tmdb/
βββ mcp-tmdb-server.js # Main MCP server implementation
βββ package.json # Project configuration and dependencies
βββ MCP_GUIDE.md # Detailed MCP integration guide
βββ babel.config.cjs # Babel configuration for Jest
βββ tests/
β βββ unit/
β β βββ handlers.test.js # Unit tests for handlers
β βββ integration/
β β βββ api.test.js # Integration tests for API calls
β βββ protocol/
β βββ mcp.test.js # MCP protocol compliance tests
βββ tests/fixtures/ # Mock data for tests
βββ movieDetails.json
βββ searchMultiResponse.json
βββ 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.