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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Enables AI assistants to query local Migas meeting transcripts, including searching, listing meetings, and retrieving speaker contributions, all read-only.

README.md

migas-mcp

MCP server for Migas meeting transcripts. Query your local meeting data from Claude Desktop, Claude Code, Cursor, or any MCP-compatible AI assistant.

What it does

Migas transcribes your meetings locally on your Mac. This MCP server gives AI assistants read-only access to that data so you can ask questions like:

  • "What did we discuss about the roadmap last week?"
  • "What has Sarah said about the budget across all meetings?"
  • "Show me the transcript from yesterday's standup"

Tools

| Tool | Description | |------|-------------| | list_meetings | Recent meetings with title, date, duration, participants | | get_meeting_transcript | Full speaker-labeled transcript for a meeting | | search_transcripts | Full-text search across all meeting transcripts | | find_speakers | Look up enrolled speakers by name | | get_speaker_contributions | Everything a speaker said across all meetings |

Install

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "migas": {
      "command": "npx",
      "args": ["-y", "migas-mcp"]
    }
  }
}

Claude Code

claude mcp add migas -- npx -y migas-mcp

Cursor

Add to MCP settings:

{
  "mcpServers": {
    "migas": {
      "command": "npx",
      "args": ["-y", "migas-mcp"]
    }
  }
}

Requirements

  • Migas installed and launched at least once (creates the local database)
  • macOS (reads from ~/Library/Application Support/Migas/meetings.db)

Privacy

The MCP server is read-only and connects to your local Migas database. No meeting data is sent anywhere by the server itself. When you ask an AI assistant a question, only the relevant transcript text is sent to the AI provider, same as using Migas's built-in chat.

Development

bun install
bun test
bun run build

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