agent-fm

agent-fm

Give your AI agent a voice.

An MCP server that lets AI coding agents speak to you via text-to-speech. The agent decides when and what to say — like a colleague tapping your shoulder.

No cloud API. No API keys. Runs locally on CPU.

Quick Start

# Add to Claude Code
claude mcp add agent-fm -- uvx agent-fm

# Pre-download models + verify setup (~340MB, one-time)
uvx agent-fm warmup

That's it. Your agent can now talk to you.

Linux only

# sounddevice needs PortAudio
sudo apt install libportaudio2

macOS and Windows need zero system dependencies.

What It Does

agent-fm gives your AI agent a speak() tool. Instead of you polling the terminal to check if your agent is done, it tells you:

• "Hey, the auth refactor is done. All tests pass."
• "Quick question — should I use Redis or in-memory caching here?"
• "Heads up, there's a circular import in the payments module."

The agent decides when to speak based on instructions you can customize. You just work — it interrupts you only when it matters.

How It Works

1. MCP server exposes speak, list_voices, and set_voice tools
2. Kokoro TTS (82M params) generates speech locally — 54 voices, 9 languages
3. Audio queue plays messages through your speakers, one at a time
4. AGENTS.md teaches your agent when to speak and when to stay quiet

Install

Claude Code

claude mcp add agent-fm -- uvx agent-fm

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "agent-fm": {
      "command": "uvx",
      "args": ["agent-fm"]
    }
  }
}

VS Code / Copilot

Add to .vscode/mcp.json:

{
  "servers": {
    "agent-fm": {
      "command": "uvx",
      "args": ["agent-fm"]
    }
  }
}

Cline / Windsurf

Same "command": "uvx", "args": ["agent-fm"] pattern in your platform's MCP config.

pip (alternative)

pip install agent-fm
python -m agent_fm

Tools

Teaching Your Agent When to Speak

agent-fm ships with an AGENTS.md you can drop into your project or ~/.claude/CLAUDE.md:

## Voice (agent-fm)

You have a `speak` tool. Use it to talk aloud — the user may not be watching the screen.

When to speak:
- Finished a task: speak("Done with the auth refactor. All tests pass.")
- Need input: speak("Quick question — should I use Redis or an in-memory cache here?")
- Found a problem: speak("Heads up, there's a circular import in the payments module.")
- About to do something big: speak("Starting the full test suite, this'll take a minute.")

Don't speak for trivial ops, every step, or to repeat what's already on screen.
1-2 sentences max. Talk like a colleague, not a robot.

This is what makes agent-fm different from a simple TTS wrapper — it teaches the agent judgment about when to interrupt you.

Voices

54 voices across 9 languages:

Default voice: am_fenrir. Change anytime:

Use the set_voice tool to switch to af_heart

CLI

agent-fm              # Run MCP server (stdio transport)
agent-fm warmup       # Download models + test setup
agent-fm --version    # Show version

System Requirements

Python 3.10-3.12 recommended. espeak-ng is bundled automatically via espeakng-loader.

Models auto-download to ~/.agent-fm/models/ on first use (~340MB).

Uninstall

# 1. Remove from Claude Code
claude mcp remove agent-fm
claude mcp remove agent-fm -s user    # if added globally

# 2. Remove package
uv tool uninstall agent-fm            # if installed with uvx
# or: pip uninstall agent-fm          # if installed with pip

# 3. Remove cached models (~340MB)
rm -rf ~/.agent-fm/

Built With

• FastMCP — MCP server framework
• Kokoro-82M — neural TTS model (ONNX, CPU)
• sounddevice — cross-platform audio

License

MIT