Radio France Podcast Explorer MCP
@infinitimeless
A Model Control Protocol (MCP) server for exploring and accessing Radio France podcasts and audio content.
Overview
What is Radio France Podcast Explorer MCP?
A Model Context Protocol (MCP) server that allows AI assistants like Claude to search for and explore podcasts, audio replays, and other content from Radio France. It uses the Radio France Open API to provide access to program information, episode details, and taxonomy-organized content.
How to use Radio France Podcast Explorer MCP?
Install dependencies (Python 3.7+), create a .env file with your Radio France API key, then run python server.py. To use with Claude Desktop, add the server configuration to claude_desktop_config.json with the command python and the absolute path to server.py, along with the RADIOFRANCE_API_KEY environment variable.
Key features of Radio France Podcast Explorer MCP
- 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
Use cases of Radio France Podcast Explorer MCP
- Find podcasts about French history through natural language queries
- Check what’s currently playing on a specific Radio France station
- Search for episodes about European politics
- Explore all podcast categories and themes available on Radio France
- Retrieve metadata and stream URLs for a given audio content URL
FAQ from Radio France Podcast Explorer MCP
What are the requirements to run the server?
Python 3.7+ and a valid Radio France API key obtained from the Radio France Open API portal.
How do I obtain a Radio France API key?
You can get an API key from the official Radio France Open API website at https://www.radiofrance.fr/api.
How can I test my installation and API key?
Run python run_tests.py to verify the installation, or python tests/test_schema.py to test the GraphQL schema structure.
Can this server be used with AI assistants other than Claude?
The README specifically describes integration with Claude Desktop, but as an MCP server it can be used with any MCP-compatible client.
What data does the server access?
It accesses Radio France content via the Radio France API, which uses a taxonomy-based approach covering diffusions (episodes/programs), brands (shows/podcast series), and grid (program schedules).
