mcp.so
what is Radio France Podcast Explorer MCP?
Radio France Podcast Explorer MCP is a Model Control Protocol (MCP) server designed to explore and access podcasts and audio content from Radio France.
how to use Radio France Podcast Explorer MCP?
To use the server, clone the repository, set up a virtual environment, install dependencies, and run the server with your Radio France API key configured.
key features of Radio France Podcast Explorer MCP?
- Search for podcasts and episodes by topic
- Retrieve program information for specific Radio France stations
- Explore content organized by themes, categories, and tags
- Process natural language queries to find relevant content
- Access audio content metadata and stream URLs
use cases of Radio France Podcast Explorer MCP?
- Finding podcasts on specific topics like French history or politics.
- Accessing current programming information from Radio France stations.
- Exploring various podcast categories and themes.
FAQ from Radio France Podcast Explorer MCP?
- What programming languages does it support?
The server is built using Python 3.7 and above.
- Is there a cost to use the Radio France API?
The API is free to use, but you need to obtain an API key from Radio France.
- Can I contribute to the project?
Yes! Contributions are welcome, and you can submit a Pull Request.
Radio France Podcast Explorer MCP
A Model Control Protocol (MCP) server that allows AI assistants like Claude to search for and explore podcasts, audio replays, and other content from Radio France.
Features
- Search for podcasts and episodes by topic
- Get program information for specific Radio France stations
- Explore content organized by taxonomies (themes, categories, tags)
- Retrieve detailed podcast and episode information
- Process natural language queries to find relevant content
- Get audio content metadata and stream URLs
Requirements
- Python 3.7+
- Radio France API Key (obtain from Radio France Open API)
Installation
-
Clone this repository:
git clone https://github.com/infinitimeless/radiofrance-podcast-explorer-mcp.git cd radiofrance-podcast-explorer-mcp
-
Create a virtual environment:
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
-
Install dependencies:
pip install -r requirements.txt
-
Create a
.env
file with your Radio France API key:RADIOFRANCE_API_KEY=your_api_key_here
Testing
Before running the server, you can verify your installation and API key by running the tests:
python run_tests.py
You can also run the GraphQL schema test to verify API structure:
python tests/test_schema.py
Running the Server
python server.py
Using with Claude Desktop
To use this server with Claude Desktop:
-
Open the file at the following location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add or update the server configuration:
{ "mcpServers": { "radiofrance": { "command": "python", "args": ["/absolute/path/to/radiofrance-podcast-explorer-mcp/server.py"], "env": { "RADIOFRANCE_API_KEY": "your_api_key_here" } } } }
-
Save the file and restart Claude Desktop
Development Testing
You can test the server using the MCP Inspector:
npx @modelcontextprotocol/inspector python server.py
This will open a web interface where you can test each of the server's tools individually.
API Structure
The Radio France API uses a taxonomy-based approach:
- Taxonomies: Categories, tags, and themes that organize content
- Diffusions: Content items (episodes, programs) associated with taxonomies
- Brands: Shows and podcast series
- Grid: Program schedules for stations
Documentation
For more detailed information, see:
- Usage Guide - Detailed instructions on using the server
- API Information - Information about the Radio France API
Example Queries for Claude
Here are some example queries you can ask Claude when using this MCP server:
- "Find me podcasts about French history"
- "What's currently playing on France Inter?"
- "Search for podcast episodes about European politics"
- "What are the different podcast categories on Radio France?"
- "Get me information about the audio content at this URL"
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT