LettuceMeet MCP
Unofficial MCP tools for LettuceMeet to create polls, view responses, and find meeting overlaps via CLI or MCP server.
README
LettuceMeet MCP
Unofficial CLI + MCP tools for LettuceMeet.
Create polls, read responses, find meeting overlaps -- all from the terminal. Designed for AI agents that want to automate scheduling without a browser.
Why
LettuceMeet has no public API. The official platform only works through a web browser. This project reverse-engineers the internal GraphQL API so that AI agents can schedule meetings directly from the command line.
Built by someone who believes every web app should be automatable from a terminal. CLI-first, agent-friendly, zero bloat.
How it works
A Python CLI (argparse + requests) talks to api.lettucemeet.com/graphql
using JWT auth. An MCP server wrapper exposes the same operations as callable
tools for any MCP-compatible agent (Pi, Claude Code, Codex, etc.).
User / Agent -> CLI / MCP -> GraphQL -> lettucemeet.com
Quick setup
uv sync
uv run python main.py login "<token>" # one-time: paste token from user
Token -- user runs this on lettucemeet.com (logged in) > DevTools Console:
copy(localStorage.getItem('akoko:session_token'))
Commands
| Command | Action |
|---|---|
login <token> |
Save session token |
create --title T --dates D1 D2 [--start-time 09:00] [--end-time 17:00] [--timezone TZ] |
Create poll |
show <id> |
View event + responses |
respond <id> --name N --email E --slots "DATE START END" |
Submit availability |
overlap <id> |
Compute best meeting times |
delete <id> |
Delete an event |
Token resolution: --token flag > LETTUCEMEET_TOKEN env var > data/session.json
MCP server
{
"mcpServers": {
"lettucemeet": {
"command": "uv",
"args": ["run", "--directory", "/path/to", "python", "src/lettucemeet_cli/mcp_server.py"]
}
}
}
Tools: create_poll, show_event, respond_to_poll, compute_overlap, delete_event
Agent skill
bash scripts/install-skill.sh --link
Agents auto-discover and can run CLI commands autonomously.
Project
src/lettucemeet_cli/ # Python package (6 modules, 42 tests)
scripts/ # Skill installer
docs/ # Architecture, MCP docs
uv run pytest # 42 tests
License
MIT
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