Livechat

A Model Context Protocol (MCP) server that lets you have a continuous voice conversation with your AI coding assistant. You speak, your speech is transcribed locally with Whisper, and each utterance is delivered to the assistant as if you'd typed it. No tab switching, no copy/paste, no batch recording.

A few things people use it for:

• Live-reviewing a vibe-coded feature. Walk through the diff and narrate fixes as you spot them — the assistant edits in place while you keep reading.
• Stream-of-consciousness debugging. Speak your hypotheses out loud as you investigate; the assistant tries them, reports back, you keep moving.
• Hands-free note-taking with project context. "Add a TODO that the auth middleware needs a rate-limit step", said while looking at the file — lands as a real comment in the right spot.
• Pair-programming while you're not at the keyboard. Eating, on a walk with AirPods, sketching on paper — keep the conversation going.
• Onboarding a new repo. Talk through what you're seeing as you read; the assistant answers questions and pulls up related code without you losing your place.

Works with any MCP host. First-class support for:

• Claude Code
• Codex CLI
• Gemini CLI

Requirements

• macOS, Linux, or Windows (native via PowerShell, or under WSL2 / Git Bash).
• Python 3.10+
• An MCP host installed (Claude Code, Codex, Gemini, etc.)
• A working microphone
• ~500 MB disk for Whisper model cache + dependencies
• uv for project management (recommended)

Quick install (recommended)

One command — no clone needed.

macOS / Linux / Git Bash on Windows:

curl -LsSf https://raw.githubusercontent.com/brunocramos/livechat-mcp/main/bootstrap.sh | bash

Native Windows PowerShell:

irm https://raw.githubusercontent.com/brunocramos/livechat-mcp/main/bootstrap.ps1 | iex

The bootstrap clones the repo to ~/.local/share/livechat-mcp (override with $LIVECHAT_INSTALL_DIR) and runs install.sh / install.ps1, which installs portaudio if needed (brew / apt / dnf / pacman / zypper — Windows wheels ship it bundled), installs uv if missing, runs uv sync, drops the wizard into ~/.local/bin, and launches the interactive setup wizard.

If you've already cloned the repo manually, run ./install.sh (or .\install.ps1) directly and skip the curl step.

First-run permissions. Two prompts to expect, both one-time:

• OS mic access, the first time /livechat opens the microphone (macOS: a System Settings dialog; Windows: the Privacy & Security panel; Linux: usually nothing if your user is in the audio group).
• MCP tool approvals from your assistant CLI — Claude Code / Codex / Gemini will ask once per tool the first time it's invoked (get_voice_input, end_voice_session, reset_voice_session, take_over_voice_session). Approve "always" and they won't ask again.

After both, every subsequent session is hot the moment you say go.

Windows: native locking uses msvcrt and takeover signaling is file-based, so no fcntl dependency. The interactive wizard is a bash script — install.ps1 invokes it through Git Bash, which it offers to install via winget if missing.

Manual setup

If you'd rather install step-by-step, here's what install.sh does:

1. Install portaudio

sounddevice needs portaudio.

• macOS: brew install portaudio
• Debian/Ubuntu: sudo apt-get install libportaudio2 portaudio19-dev
• Fedora/RHEL: sudo dnf install portaudio portaudio-devel
• Arch: sudo pacman -S portaudio

2. Install uv if you don't have it

curl -LsSf https://astral.sh/uv/install.sh | sh

3. Clone and install dependencies

cd livechat-mcp
uv sync

This will create .venv/ and install mcp, faster-whisper, sounddevice, silero-vad, torch, etc.

4. Run the setup wizard

install -m 0755 bin/livechat-mcp ~/.local/bin/livechat-mcp
livechat-mcp setup

The wizard will:

1. Ask which assistants to install for (Claude Code / Codex / Gemini, any combination).
2. Copy the /livechat and /endlivechat slash commands to hosts that support custom slash commands. For Codex, it installs both legacy prompt files and a livechat skill, because current Codex CLI releases do not expose custom prompts as /livechat.
3. Register the MCP server in each host's config file.
4. Walk you through the tunable env vars (silence threshold, Whisper model, etc.) — press Enter to keep defaults.

Make sure ~/.local/bin is on your PATH (it already is if you used the official uv installer).

If you'd rather wire things up by hand, the manual steps for each host are below.

5. Grant microphone permission

• macOS: the first time the server tries to capture audio, macOS will prompt your terminal app (Terminal, iTerm, Ghostty, Warp, etc.) for mic access. If you miss the prompt, enable it manually:

  System Settings → Privacy & Security → Microphone → enable for your terminal

  If you skip this, audio capture silently returns silence and nothing will ever transcribe.

• Windows: Settings → Privacy & security → Microphone → allow desktop apps to access the microphone (and ensure your terminal is permitted).

• Linux: usually no prompt — just make sure your user has the right ALSA / PulseAudio / Pipewire access (typically the audio group).

6. Pre-download the Whisper model (optional)

The first run downloads base.en (~150 MB). You can pre-warm it:

uv run python -c "from faster_whisper import WhisperModel; WhisperModel('base.en', device='cpu', compute_type='int8')"

Manual install (skip if you used livechat-mcp setup)

Claude Code

Copy the slash commands:

mkdir -p ~/.claude/commands
cp commands/livechat.md ~/.claude/commands/
cp commands/endlivechat.md ~/.claude/commands/

Register the MCP server:

claude mcp add livechat -- uv --directory "$(pwd)" run livechat-mcp

Or edit ~/.claude.json directly:

{
  "mcpServers": {
    "livechat": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/livechat-mcp", "run", "livechat-mcp"]
    }
  }
}

Codex CLI

Install the Codex skill and legacy prompt files:

mkdir -p ~/.codex/skills/livechat
cp skills/livechat/SKILL.md ~/.codex/skills/livechat/
mkdir -p ~/.codex/prompts
cp commands/livechat.md ~/.codex/prompts/
cp commands/endlivechat.md ~/.codex/prompts/

Register the MCP server in ~/.codex/config.toml:

[mcp_servers.livechat]
command = "uv"
args = ["--directory", "/absolute/path/to/livechat-mcp", "run", "livechat-mcp"]

Gemini CLI

Gemini uses TOML for custom commands. The wizard generates these for you; to do it by hand, see commands/gemini/livechat.toml.template (created by running livechat-mcp setup once).

Register the MCP server in ~/.gemini/settings.json:

{
  "mcpServers": {
    "livechat": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/livechat-mcp", "run", "livechat-mcp"]
    }
  }
}

Usage

Open your assistant's CLI in any terminal:

claude    # or: codex    or: gemini

Then in the assistant prompt:

/livechat            # Claude Code, Gemini CLI
use livechat         # Codex CLI

Codex restart required. Codex only loads skills and MCP servers at startup. If you ran the wizard while Codex was open, quit and relaunch before using use livechat.

Codex 0.128.0 does not support user-defined /livechat slash commands; / is currently reserved for Codex's built-in commands. The setup installs a discoverable livechat skill instead, so you can type use livechat or open /skills and pick livechat.

The assistant will call get_voice_input and start listening. Speak normally. When you pause for ~1.5 seconds, your utterance is finalized, transcribed, and sent as a prompt. The assistant responds, then immediately listens for the next utterance.

While the assistant is generating a response, the mic is still hot — anything you say during that time queues up and is delivered all at once on the next get_voice_input call.

Ending a session

Three ways:

1. /endlivechat — cleanest, runs from the assistant prompt. (You'll need to interrupt the current turn first if it's mid-response.)
2. Wake phrase — say terminate voice session now. The transcription triggers shutdown. The phrase is intentionally awkward to avoid collisions with real review content. Configurable via LIVECHAT_END_PHRASE.
3. Ctrl+C — kills the MCP server. The assistant will see a tool error on the next call and stop the loop.

Configuration

All tunables live in livechat_mcp/config.py and can be overridden via env vars:

Var	Default	Notes
LIVECHAT_WHISPER_MODEL	base.en	English-only: tiny.en, base.en, small.en, medium.en. Multilingual (drop .en): tiny, base, small, medium
LIVECHAT_WHISPER_LANGUAGE	en	Language code (en, pt, es, …) or auto to detect per utterance. auto requires a multilingual model
LIVECHAT_WHISPER_DEVICE	auto	cpu, cuda, auto
LIVECHAT_WHISPER_COMPUTE	int8	int8 (CPU), float16 (GPU)
LIVECHAT_SILENCE_SEC	1.5	Silence after speech to end an utterance
LIVECHAT_VAD_THRESHOLD	0.5	Silero VAD speech probability threshold
LIVECHAT_MIN_UTTERANCE_SEC	0.4	Minimum utterance length (filters coughs)
LIVECHAT_MAX_UTTERANCE_SEC	120	Force-cut runaway utterances
LIVECHAT_LONG_POLL_SEC	300	How long get_voice_input blocks before __NO_INPUT__
LIVECHAT_END_PHRASE	terminate voice session now	Spoken phrase to end the session
LIVECHAT_DEBUG	unset	Set to 1 for VAD/segmentation debug logs to stderr

The easy way to set these is livechat-mcp set KEY VALUE — it edits the env block in every host config it finds (Claude / Codex / Gemini).

livechat-mcp show           # print current env block(s)
livechat-mcp set LIVECHAT_SILENCE_SEC 1.5
livechat-mcp unset LIVECHAT_DEBUG

Restart your assistant CLI after any change — MCP env vars are read by the server at startup.

To do it manually, edit the env field of the livechat MCP entry in each host's config. Example for Claude Code:

{
  "mcpServers": {
    "livechat": {
      "command": "uv",
      "args": ["--directory", "/abs/path", "run", "livechat-mcp"],
      "env": {
        "LIVECHAT_WHISPER_MODEL": "small.en",
        "LIVECHAT_DEBUG": "1"
      }
    }
  }
}

Troubleshooting

Nothing happens when I speak. Check (in order): mic permission for your terminal app, mic input level (System Settings → Sound), set LIVECHAT_DEBUG=1 and watch stderr for VAD events, lower LIVECHAT_VAD_THRESHOLD to 0.3.

Transcriptions are inaccurate. Upgrade model: LIVECHAT_WHISPER_MODEL=small.en or medium.en. medium.en is noticeably slower on CPU (still real-time-ish) but much better for technical vocabulary.

Utterance ends too quickly / too slowly. Tune LIVECHAT_SILENCE_SEC (or run livechat-mcp set LIVECHAT_SILENCE_SEC 1.5). 1.0–4.5 is the useful range — lower feels snappier but risks cutting mid-thought pauses.

uv not found. Either install uv (recommended) or change the MCP config command to a direct invocation of python -m livechat_mcp.server from inside an activated venv.

The server starts but the assistant never calls the tool. Make sure /livechat was invoked. Without the slash command, the assistant has no instruction to enter the loop.

Server logs go into the assistant's UI as garbage / break the protocol. This shouldn't happen — all server logging goes to stderr. If you see it, file a bug. Make sure you have not added any print(...) statements without file=sys.stderr.

portaudio errors on startup. Install it: brew install portaudio. If it's installed and still failing, try brew reinstall portaudio and reinstall sounddevice: uv sync --reinstall.

How it works (short version)

[mic] → [Silero VAD] → [Whisper] → [queue] ← [get_voice_input tool] ← [Assistant]
   ↑________background thread, always running________↑

The audio pipeline is decoupled from the MCP tool, so the mic is always hot while the server is up. Utterances spoken while the assistant is generating a response are queued and delivered on the next tool call.

License

MIT.