Luma Events MCP Server

Luma Events MCP Server

Discovers events from Luma's public feed and subscribed calendars, with distance filtering, category search, and ICS export. No API key required for basic discovery.

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README

Luma Events MCP Server

<!-- mcp-name: io.github.alx1p/luma-mcp -->

A FastMCP server that discovers events from Luma — combining the Discover feed and subscribed calendars — with distance filtering and ICS export. No API key required for basic discovery.

How it works

Luma's Discover API has two endpoints that behave very differently:

  • Category search (e.g. AI, Tech, Food) — returns hundreds of events with rich tagging, but only for your home region. Great depth, geographically locked.
  • City search (e.g. Paris, London, Tokyo) — returns a curated set of ~20–40 top/featured events for that city. Broad coverage, smaller set.

This MCP uses both via two search modes:

  • Home mode (default, no city param) — searches your preferred categories via the Category API. Deep, rich results filtered by address and distance.
  • Travel mode (pass a city) — fetches the curated top events for that city via the Place API.

On first run, the server returns popular events near you (geo-biased by IP), then walks you through setting up categories, address, and login for progressively richer results.

Tools

Tool What it does
search_events Home mode: search by category with address/distance filtering. Travel mode: curated events for a specific city.
set_preferences Save default categories (list), address, and max distance. Persists in SQLite across restarts.
get_event Fetch full details for a single event by API id or lu.ma URL.
export_event_ics Generate an ICS string for any event — paste into Apple Calendar, Google Calendar, Outlook, etc.

Setup

Prerequisites

  • Python 3.10+
  • uv (recommended) or pip

Install

git clone <this-repo>
cd "Luma Cal MCP"
uv venv .venv --python 3.12
source .venv/bin/activate
uv pip install -e .

Subscribed calendars (optional)

To access events from calendars you follow on Luma, install the optional auth dependencies:

uv pip install -e ".[auth]"
playwright install chromium

First run

On first use, the raw Discover feed returns hundreds of popular events near you (geo-biased by IP). The server then walks you through setup one prompt at a time to narrow results:

  1. Address — asks for your location and preferred search radius, which dramatically reduces the result set to events near you.
  2. Categories — asks which topics interest you (from: tech, ai, food, arts, climate, fitness, wellness, crypto) for focused discovery.
  3. Login — asks whether to log in for subscribed calendars.

Each prompt appears after returning results, so you see events immediately. After you configure a preference, the search reruns automatically and the next prompt appears. You can respond "not now" (prompt reappears next time) or "never" (permanently dismissed).

Configure

Use set_preferences to save defaults that persist across restarts:

set_preferences(address="3180 18th St, San Francisco", max_distance_miles=15)
set_preferences(categories=["ai", "tech"])

Run

# stdio transport (for Cursor, Claude Desktop, etc.)
fastmcp run src/luma_mcp/server.py

# or directly
python -m luma_mcp.server

Authentication

Subscribed calendars require a Luma session cookie. The server handles this automatically via an inline login flow.

How it works:

  1. First call — after results, the server prompts for login. The agent asks you in chat.
  2. Login — the agent calls search_events with login=true. A Chromium browser opens to lu.ma/signin; log in normally. The session cookie is stored in the local SQLite DB.
  3. Decline — the agent calls search_events with skip_login_days=N to defer (0 = ask next time, -1 = never).
  4. Returning user, cookie expired — the browser opens automatically for re-authentication.
  5. Validation — the stored cookie is validated against Luma's API every 24 hours.

New Event Tracking

The server maintains a local SQLite database (~/.luma-mcp/events.db by default) that records the first time each event is seen. This enables two filters on search_events:

  • added_within_days — only return events first seen within the last N days.
  • new_only — only return events that have never been seen before.

Every result also includes first_seen_at (ISO timestamp) and is_new (boolean).

Cursor MCP Configuration

Add to your Cursor MCP settings (.cursor/mcp.json):

{
  "mcpServers": {
    "luma-events": {
      "command": "uv",
      "args": [
        "run",
        "--directory", "/path/to/Luma Cal MCP",
        "fastmcp", "run", "src/luma_mcp/server.py"
      ],
      "env": {
        "PYTHONPATH": "/path/to/Luma Cal MCP/src"
      }
    }
  }
}

Data Sources

Source Auth Coverage
Discover (api.lu.ma) None required Public events by city and category — same feed as luma.com/discover
Subscribed calendars (api.lu.ma) Browser login (auto-managed) Events from calendars you follow on Luma

Without logging in, the server still works — Discover is fully available with no authentication.

Distance Filtering

Set a home address via set_preferences(address="...") with max_distance_miles. In home mode, events beyond the radius are excluded. Events without location data are included by default (with distance_miles: null). In travel mode, distance filtering uses the city center at 25 miles automatically.

Geocoding uses Nominatim (free, OpenStreetMap) by default. For higher volume, set GEOCODING_PROVIDER=google or mapbox with the corresponding GEOCODING_API_KEY in your environment.

Event Times

Event times (start_at, end_at) are returned in the user's system timezone. The timezone field from Luma is included in every result for reference.

Limitations

  • RSVP is browser-only. get_event returns the RSVP URL; there's no headless registration path. Use export_event_ics to add events to your calendar.
  • Web endpoints are undocumented. The Discover and subscribed-calendars feeds use Luma's internal API (api.lu.ma), which can change without notice. Breakage is isolated to luma_web_client.py.

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