STT.ai MCP Server

Model Context Protocol server for STT.ai. Lets Claude Desktop, Cursor, and any other MCP-compatible client transcribe audio/video, manage transcripts, and run AI features over them.

Differentiator vs other STT MCP servers (Otter, Fireflies, Granola, Read AI): those are read-only over stored transcripts. This one also exposes transcribe_url and chat_with_transcript, so Claude can transcribe a YouTube link and immediately query the result in one conversation.

Tools

Install

pip install sttai-mcp

Configure

Get your STT.ai API key at https://stt.ai/account/#developer.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "stt-ai": {
      "command": "sttai-mcp",
      "env": {
        "STT_API_KEY": "your-api-key-here"
      }
    }
  }
}

Restart Claude Desktop. The STT.ai tools should appear.

Cursor

Settings → MCP → Add new MCP server:

{
  "stt-ai": {
    "command": "sttai-mcp",
    "env": { "STT_API_KEY": "your-api-key-here" }
  }
}

Run directly

STT_API_KEY=your-key sttai-mcp

The server speaks MCP over stdio.

Examples

In Claude Desktop, after configuring:

"Transcribe https://www.youtube.com/watch?v=dQw4w9WgXcQ and summarize the key points."

Claude will call transcribe_url, then summarize_transcript on the result.

"What are my last 5 transcripts about?"

Claude calls list_transcripts(limit=5) and reads each title.

"In transcript abc123, what did the speaker say about pricing?"

Claude calls chat_with_transcript("abc123", "what did they say about pricing?") and gets an answer with timestamped sources.

Repo

• Source: https://github.com/sttaigit/sttai-mcp
• License: MIT
• Issues: https://github.com/sttaigit/sttai-mcp/issues

Maintained by STT.ai.