travel-trends-mcp

European tourism & travel-disruption MCP: trip risk, live events, Eurostat panels, RO county data.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    European tourism & travel-disruption MCP: trip risk, live events, Eurostat panels, RO county data.

    How to connect

    How to connect travel-trends-mcp to Claude

    The server address to paste into Claude settings:

    https://travel-trends.mmatinca.eu/mcp/v1

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect travel-trends-mcp to ChatGPT

    The server address to paste into ChatGPT settings:

    https://travel-trends.mmatinca.eu/mcp/v1

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect travel-trends-mcp to Cursor

    The server address to paste into Cursor settings:

    https://travel-trends.mmatinca.eu/mcp/v1

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (8)

    Raw names from tools/list. Only developers need these.

    assess_tripAssess one trip: current disruption status for its destinations and dates. Use this tool when the user asks whether a specific trip is affected by strikes, weather, transport disruptions or other travel risks. Give the destinations and the travel window (date_from/date_to, YYYY-MM-DD). Destinations are the EU-27 ISO2 codes (Greece = "EL") PLUS the non-EU27 countries we actively monitor: Norway ("NO", rail via Entur, live), the United Kingdom ("UK" or "GB", transit via TfL, live), and Switzerland ("CH", rail via SBB — key-pending, so it is reported as a declared blind spot until the feed is keyed, never a false all-clear). A code we do not monitor is rejected with {"error": "unknown_country"} rather than silently all-cleared. Returns a Decision-Support answer, not raw data: * travel_status: NORMAL | MINOR_DISRUPTION | MAJOR_DISRUPTION; * actionable_lines: per-event DECISION-IMPACT guidance — what the disruption means for THIS trip and what to do (e.g. "affects regional trains, not airports -> take a road airport transfer, leave ~30 min earlier"), or a clearly-labelled "nothing material" line when calm; * confidence: a LABELLED model output (coverage/corroboration/recency/ blind-spots blend, not a probability) — read its caveats; * sources_checked: proof of what was monitored (sources_ok, blind spots); * events + caveats. Sub-floor noise (a deep, far-field seismic blip) is omitted; calm is a monitoring result for the window, never an invented forecast. Invalid inputs return an explicit {"error": ...}; nothing is fabricated. Top-level MCP-facing structure (additive; existing fields preserved): * presentation: a three-section block — affects_your_trip[] (each item with verified_sources[] as display-ready names, source_count, corroborated flag (≥2 distinct sources), an honest for_you line bound to destinations+dates only, r
    watch_tripStart monitoring one trip for disruption changes over time. Use this tool when the user wants ongoing monitoring of a trip rather than a one-off assessment (for a one-off answer, use assess_trip). Persists the trip as a monitored object and returns its initial assessment plus a random, unguessable trip_id AND a one-time `owner.owner_token`. Store BOTH: the trip_id is the (public, shareable) URL handle, the owner_token is the private key needed to change or stop the trip later. CREATE vs REFRESH: called with just destinations+dates it CREATES a new trip every time (it does NOT dedupe on identity — that is deliberate, so nobody can reach your trip by guessing your itinerary). To update an existing trip (change its label or webhook), call again passing BOTH its `trip_id` and `owner_token`; a missing/wrong token is rejected. Each pipeline run then re-evaluates the trip and appends an update ONLY when something materially changes (a new/cleared event, a severity/status shift, or a travel_status change) — never on a calm tick. Args: destinations — EU-27 ISO2 codes (Greece = "EL") plus the non-EU27 countries we monitor: Norway "NO" (Entur, live), United Kingdom "UK"/"GB" (TfL, live), Switzerland "CH" (SBB, key-pending → declared blind spot until keyed); date_from/date_to (YYYY-MM-DD); optional label. An unmonitored code is rejected with {"error": "unknown_country"} rather than a false all-clear. Returns {trip_id, assessment, created_at}; invalid inputs return an explicit {"error": ...}. Destinations also accept natural input: IATA airport codes (e.g. 'TSR', 'AMS', 'ZRH') and major city names (e.g. 'Timișoara', 'Amsterdam', 'Zürich', 'London'), resolved deterministically to a monitored country code. The initial assessment includes a 'resolved' list ([{input, country, kind}]) disclosing how each token was mapped (e.g. 'TSR -> RO via iata-airport'). A token that reso
    whats_changedReport only what changed for a watched trip since a checkpoint. Use this tool when the user asks for news on a trip already registered with watch_trip; for the stored notification log rather than a live diff, use get_trip_updates_since. Recomputes the trip's current assessment and diffs it against the checkpoint at/just- before `since` (or the last evaluation when `since` is omitted). Returns {material, summary, added_events, removed_events, changed_events, previous_travel_status, travel_status, confidence_from, confidence_to}. `summary` is a plain-language line ('Since your last check: rail strike CONFIRMED (was: announced); a road closure cleared; confidence 63->71%'). A non-material tick returns material=False with a clearly-flagged 'No material change' summary — never invented churn. `since` is an optional ISO-8601 timestamp (e.g. the user's last-seen time). Id is regex-validated (^trip-[a-z0-9-]+$); unknown id -> {"error": "not_found"}, malformed id -> {"error": "invalid_trip_id"}. The response also forwards the presentation blocks from the current assessment so the LLM consumer has full context alongside the delta: presentation (affects_your_trip / doesnt_affect_your_trip / next_steps), track_record_ref (90-day counts + URL), and suggested_next_call (the suggested follow-up action). Forwarded in both material=True and material=False branches; absent if upstream did not compute them (legacy code paths) — never fabricated. `audience` (optional: tmc | hotel | ota | tour_operator) attaches the same `persona` block as assess_trip/watch_trip to the change alert — audience-tagged actions for the events currently affecting the trip, so the alert itself carries the operational next step. Unknown audience -> honest error listing valid_audiences.
    explain_silenceExplain why a watched trip has produced no updates. Use this tool when the user asks why they have not heard anything about a watched trip. Returns {recheck_count, last_checked} (proof the trip was actively monitored), {suppressed:[{what, domain, country, score, floor, reason}]} (what we saw for your destinations and dropped below the disclosed relevance floor — e.g. a deep quake at modelled felt-intensity 3.39 < floor 4.0), {confidence_during_window}, and {blind_spots:[{domain, country, note}]} — domains/countries we do NOT monitor live, so silence there is NOT a guarantee (e.g. aviation-IT blind spot => silence does not cover flights). `since` optionally scopes the recheck window. Id is regex-validated; unknown -> {"error": "not_found"}, malformed -> {"error": "invalid_trip_id"}.
    get_trip_updates_sinceThe watched-trip updates log filtered to entries AFTER `since`. The notification payload: everything logged for the trip strictly after the `since` ISO-8601 timestamp (the user's last-seen time), oldest-first. Returns {trip_id, since, new_update_count, updates}. Use this tool to fetch the stored update entries the user has not seen yet; for a live recomputed diff, use whats_changed instead. An empty `since` returns the whole log. Id is regex-validated (^trip-[a-z0-9-]+$); unknown id -> {"error": "not_found"}, malformed id -> {"error": "invalid_trip_id"}.
    country_briefingGet today's published daily briefing, pre-formatted for end users. Use this tool for a general "what is happening today in EU travel" question that is not tied to one specific trip. Returns the same payload as the underlying daily briefing artifact: headline counts, one plain-language headline per active event, monitoring coverage (sources_ok / blind_spots_count), backtest trust figures, and a caveats list. Always relay caveats alongside numbers. Optional ``country`` (EU-27 ISO2 alpha-2, Greece = "EL") narrows the events list only — headline_counts / monitoring / trust stay EU-27-wide, as flagged in the returned note. Missing artifact returns ``{"error": "unavailable"}``.
    list_eventsList detected travel-disruption events for EU-27 tourism. Use this tool to browse or filter current disruption events across countries; for a question about one specific trip, use assess_trip. Events are deterministic, rule-based detections over published live snapshots and monthly indicators — thresholds are disclosed in each event record; nothing is model-generated here. Filters: status (e.g. "active"/"resolved"), country (EU-27 ISO2, Greece = "EL"), domain (e.g. "weather", "aviation"), min_severity on the ordered scale info < watch < warning < severe. Returns {count, events, filters}; on missing index returns {"error": "unavailable"}.
    country_tourism_profileTourism profile for one EU-27 country — a decade of Eurostat data. Use this tool for questions about a country's tourism statistics, seasonality or visitor mix, not for live disruptions. Pure projection of the published artifacts (countries/<code>.json + competitiveness.json): yearly nights/arrivals totals with YoY, average stay, seasonality (peak month and peak-to-mean ratio, formula disclosed), domestic vs foreign visitor share, recovery vs 2019, growth vs the EU average, and computed competitiveness insights (each labeled with its basis). Every number is computed from the same public dataset the site serves — nothing narrated, nothing estimated; links carry the citable page + raw JSON. `code` is EU-27 ISO2 (Greece = "EL"). Unknown country -> {"error": "unknown_country"}; missing artifact -> {"error": "unavailable"}.