Skip to main content

An MCP server for discovering public radio stations and stream URLs through Radio Browser

Project description

Oremi Rediyo

Buy me a beer

Oremi Rediyo is an MCP server for internet radio streaming. It provides AI assistants and autonomous agents with a unified interface to discover, search, and play radio stations from around the world through the Model Context Protocol (MCP).

Built to run in Docker, Oremi Rediyo offers reliable access to thousands of internet radio stations, allowing agents to browse stations by name, country, language, genre, or popularity, and control playback using a standardized MCP interface.

The name Oremi Rediyo comes from the Yoruba language. Oremi means "my friend", reflecting the project's goal of building a helpful and trustworthy AI ecosystem. Rediyo is the Yoruba word for "radio", representing the service's responsibility for discovering and streaming internet radio stations through a unified MCP interface.

Oremi Rediyo Logo

Core Capabilities

  • Search by station name, UUID, codec, country, country code, state, language, or tag
  • Return complete station metadata, including the preferred url_resolved stream URL
  • Browse countries, languages, and tags with station counts
  • Inspect Radio Browser service statistics
  • Register a Radio Browser click when playback starts
  • Configure timeouts, result limits, broken-station filtering, HTTP binding, API prefix, and logging through environment variables
  • Serve MCP over Streamable HTTP
  • Run as a lightweight Docker container with simple deployment.
  • Integrate seamlessly with the Oremi ecosystem and other MCP-compatible clients.

Documentation

All project documentation—including architecture details, configuration reference, and the Home Assistant integration guide—can be found at: https://demsking.gitlab.io/oremi-rediyo/

Development

Oremi Device is built with Python and uses uv for dependency management. The project follows standard Python development practices with type hints, linting, and automated testing.

For detailed information on setting up your development environment, running tests, code style guidelines, and the pull request process, please refer to CONTRIBUTING.md.

Versioning

This project adheres to Semantic Versioning (SemVer). Version numbers follow the MAJOR.MINOR.PATCH format:

  • MAJOR version increments for incompatible API changes
  • MINOR version increments for backward-compatible new functionality
  • PATCH version increments for backward-compatible bug fixes

License

Copyright 2026 Sébastien Demanou. All Rights Reserved.

Licensed under the Apache License, Version 2.0. See the LICENSE for the complete license text.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

oremi_rediyo-1.0.0b2-py3-none-any.whl (26.6 kB view details)

Uploaded Python 3

File details

Details for the file oremi_rediyo-1.0.0b2-py3-none-any.whl.

File metadata

  • Download URL: oremi_rediyo-1.0.0b2-py3-none-any.whl
  • Upload date:
  • Size: 26.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for oremi_rediyo-1.0.0b2-py3-none-any.whl
Algorithm Hash digest
SHA256 117818729b58f35571782f8b853332f2c65f87b8d8dd5f38f04cf29359156b56
MD5 6e0ba674838a5e0b901825673f7a4db7
BLAKE2b-256 edadbd5b98467f39fcba8671bcce3517d3f9cd172f45b7c37a4512b474123b6c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page