MCP server

Podcli ships as a Model Context Protocol server. Plug it into any MCP client and the agent runs the whole pipeline: transcribe, score clips against your knowledge base, crop, caption, and export. Say "clip this episode" and it does the rest.

For the marketing overview and the full tool list, see the MCP page.

Add it to Claude Code#

Install Podcli, then register the server:

podcli mcp install

Add it to Claude Desktop or Codex#

The config is one block. Same shape everywhere:

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

What you say to the agent#

Natural language. The agent reads the tool list and figures out the call sequence.

Transcribe episode-072.mp4 and suggest the top eight clips.
Render the selected clips in 1080×1920 with the karaoke caption style.
Check clip 4 against the episode database. Have we shipped anything close before?

Privacy#

The MCP server runs locally as a process the agent talks to. The video, transcript, and renders stay on your machine. The only network calls are the optional Claude or Codex API calls when you use AI clip scoring.