Project
Oremi Kànsà
Oremi Kànsà is an MCP server for discovering podcasts through the
28 commits 1 contributor Updated Jul 2026
Overview
Oremi Kànsà is an MCP server for discovering podcasts through the Podcast Index. It provides AI assistants and autonomous agents with a standardized interface to search, browse, and retrieve podcast information using the Model Context Protocol (MCP).
Designed to run in Docker, Oremi Kànsà exposes tools for searching podcasts, exploring episodes, browsing categories, and retrieving metadata from Podcast Index. It enables MCP-compatible clients to access podcast content without interacting directly with the Podcast Index API.
The name Oremi Kànsà comes from the Yoruba language. Oremi means "my friend", reflecting the project's goal of building a helpful and trustworthy AI ecosystem. Kànsà is derived from the Yoruba word associated with broadcasting or broadcast media, representing the service's responsibility for helping AI agents discover podcast content through a unified MCP interface.
Technology
- Python
Repository information
- Primary language
- Python
- Created
- July 16, 2026
- Last activity
- July 23, 2026
Activity
Daily commits on the default branch, across the whole project history.