globick-mcp
A local MCP server that connects the Globick activities API to Claude Desktop, enabling natural language search and filtering of the activities catalogue.
README
globick-mcp
A local MCP server that connects the Globick activities API to Claude Desktop, so you can search and filter the catalogue in natural language:
"Find Barcelona activities with separate adult and child rates, under €30, that are refundable." "Which activities have no images? Group them by operator." "Give me a data-quality report for the Barcelona inventory."
Runs entirely on this machine over stdio — nothing to deploy. It reuses the
battle-tested globick SDK from ../globick-cli (auth caching,
per-endpoint rate limiting, 202/429 retries) as an editable path dependency.
Setup
cd ~/Dev/globick-mcp
uv sync # creates .venv and installs deps + ../globick-cli
cp .env.example .env # already done — Globick sandbox credentials live here
Claude Desktop wiring (~/Library/Application Support/Claude/claude_desktop_config.json,
already configured):
{
"mcpServers": {
"globick": {
"command": "/Users/gabriel/Dev/globick-mcp/.venv/bin/globick-mcp",
"args": []
}
}
}
No env block needed: the server loads .env by absolute path (Claude Desktop's
cwd is not this project). Restart Claude Desktop after changing the config or the code.
Tools
| Tool | What it does |
|---|---|
globick_list_locations |
Find a city's CIT_… code (~1,500 cities; pass name_contains) |
globick_list_categories |
Activity categories |
globick_search_activities |
Fast keyword/city search (lightweight stubs) |
globick_get_activity |
Curated detail: rates, refund policy, content checklist, portal link |
globick_filter_activities |
The star — filter by rate types (adult/child/group/…), images, content completeness, languages, price, duration, refundability, sandbox bookability |
globick_inventory_report |
Data-quality report: % with images, content-completeness histogram, language coverage, rate-category mix, price stats, operators with most content gaps |
globick_get_availability |
Available dates (+ sessions with times/prices for ranges ≤ 3 days) |
All tools are read-only. Rate types are semantic categories derived from each
rate's display name + age limits (the API's rateType codes are supplier-internal).
How filtering works (v1: live fetching)
Search returns lightweight stubs; the filters need per-activity detail. The filter
and report tools fetch details live (4 workers, capped by max_fetch, respecting the
client's rate limits) and memoize them in-process, so repeat calls in one Claude
Desktop session are instant and extend coverage. Every response carries a
coverage_note saying how much of the candidate set was examined. Activities whose
detail endpoint 404s or 500s in the sandbox (whole supplier ranges do) are cached as
known-missing and counted honestly.
Demo crib sheet
Warm up before going on stage: ask one filter question first so the cache fills, or narrate the first fetch as "indexing the city live".
- Warm open — "Which cities does Globick have activities in? Search Barcelona for Sagrada Familia."
- Detail — "Show me everything about the top one — prices, refund policy, languages." (the
portal_urlopens the activity in the Globick portal) - The star — "Find Barcelona activities with separate adult and child rates, under €30, that are refundable."
- Data-quality angle — "Which activities have no images or no description? Group by operator — who should the content team chase first?" (spoiler: Musement activities have zero images in the sandbox)
- Closer — "Give me a data-quality report for the Barcelona inventory." → pitch: this server, white-labeled, is what OTA clients could plug into their own AI.
Useful sandbox facts: Barcelona is CIT_160008 (786 activities; ignore the
"Location not identified" duplicate). Only test/certification suppliers book
end-to-end (bookable_in_sandbox); a 68xxx Musement range 500s on detail.
Tests
uv run pytest # 31 unit tests, no network (fixtures from real sandbox payloads)
uv run mcp dev src/globick_mcp/server.py # MCP Inspector for manual smoke
Future improvements
- Pre-warmed persistent cache — a SQLite cache (
search_index+detailstables) filled by apython -m globick_mcp.sync <city>command run before the demo would give instant, full-city coverage for filters and reports (nomax_fetchcap, survives restarts). The in-memory memo insrc/globick_mcp/fetch.pyis the seam where it plugs in. - Booking tool group — create/confirm/cancel orders reusing
globick/booking.pyvalidations, gated behindGLOBICK_MCP_ENABLE_BOOKING=1; confirm is irreversible and must never auto-retry. - AI gap-translation tool — port of the CLI's NXT-16 feature (translate activity content into locales the supplier doesn't provide).
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