PodMaster

Local podcast transcription, embedding, and semantic search with an MCP server for AI assistant integration. All processing runs on your machine.

Features

• Local transcription via faster-whisper (CPU or Metal/CUDA)

• Semantic search with sentence embeddings + SQLite vector index

• RSS feed import

• MCP server for Claude Code, Cursor, and other AI assistants

• REST API for GUI integrations

• Full CLI

Related MCP server: LocalNest MCP

Install

pip install podmaster
pip install "podmaster[mcp]"
pip install "podmaster[api]"
pip install "podmaster[all]"

Requires Python 3.11+.

Quick Start

podmaster add "https://feeds.example.com/podcast.xml"
podmaster list podcasts
podmaster list episodes
podmaster transcribe --episode <episode-id>
podmaster search "what did they say about AI agents"
podmaster mcp

Models

PodMaster ships a small, vetted set of on-device models. Run podmaster models for the full list.

Transcription (faster-whisper)

Embedding (sentence-transformers)

MCP Integration

{
  "mcpServers": {
    "podmaster": {
      "command": "podmaster",
      "args": ["mcp"]
    }
  }
}

Tools: transcribe_audio, search_library, get_episode_transcript, list_podcasts, list_episodes.

Development

git clone https://github.com/summitmktg/podmaster
cd podmaster
pip install -e ".[all,dev]"
pytest tests/

License

MIT