The Google Flights Policy Recommender (MCP) server searches Google Flights, evaluates results against corporate travel policies and personal preferences, and guides users through booking — without ever completing a purchase or payment.
Search Flights: Look up flights by origin, destination, dates, cabin class, and number of adults, returning structured options with airline, times, stops, and price.
Check Policy Compliance: Evaluate a specific flight against a travel policy file, returning compliance status, any violations, and whether manager approval is required.
Find Compliant Flights: Combines search and policy evaluation in one step — filters out non-compliant results and returns only policy-compliant options sorted by price, with a summary of rejected flights and reasons.
Rank by Preferences: Sort results based on personal preferences such as cheapest, fastest, nonstop, airline alliance, or red-eye avoidance.
Start Booking: Re-validates a chosen flight against policy, then navigates Google Flights through fare selection and auto-fills traveler details (name, email, phone, passport info, frequent flyer number, etc.). Always stops before any payment field or purchase button, handing control back to the user. Refuses to proceed with out-of-policy flights unless explicitly acknowledged.
Close Browser: Ends the Playwright browser session when the booking workflow is complete.
Searches Google Flights, labels results as in-policy or out-of-policy against a travel policy file, and ranks them by preferences (nonstop, alliance, red-eye avoidance, cheapest/fastest/balanced). Provides a Google Flights link to complete booking.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Google Flights Policy Recommender (MCP) Find flights from LAX to ORD on March 15"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A remote MCP server that searches Google Flights, labels every result in-policy or out-of-policy against a travel policy file, and ranks them by your travel preferences — nonstop, airline alliance, red-eye avoidance, cheapest/fastest/balanced. It never visits an airline or OTA site and never attempts to book anything: it hands you a ranked, labeled list and a Google Flights link to complete the booking yourself.
Built as a technology demonstration of policy-aware flight recommendations.
This repository is one of three independently deployed MCPs in the
tarun-mcp-suite, alongside
gsuite and
simplefin.
There's also a local, browser-driven server in this repo that can drive a booking up to (but never through) payment — see local-server/README.md.
The live deployment:
https://corp-travel-mcp-508362522869.us-central1.run.app/mcpIn claude.ai, go to Settings → Connectors → Add custom connector.
URL: paste the URL above.
Auth: choose OAuth. Leave the Client ID / Client Secret fields blank — this server supports dynamic client registration, so claude.ai registers itself automatically; nothing to fill in by hand.
Save. claude.ai will prompt you to connect — sign in with your
@routespring.com (or @gallop.ai) Google account. Any other
domain is rejected.
Try asking it to find a flight (see docs/examples.md).
Running your own separate deployment instead? See
docs/advanced-build.md for deploying it (Docker,
Fly.io/Render/Cloud Run) and setting up your own Google OAuth client — or
use the simpler username/password (Basic Auth) option claude.ai also offers,
where the password is the deployment's MCP_BEARER_TOKEN.
Related MCP server: fli
Two files drive every recommendation: policy (hard/soft rules — fare caps, cabin class, blocked airlines) and preferences (personal taste — nonstop, alliance, cheapest vs. fastest). Full schema for both: docs/advanced-usage.md.
Change the deployment's default — edit policy.json /
user_preferences.json and redeploy, or set the POLICY_JSON /
PREFERENCES_JSON env vars directly (no rebuild needed). This changes
results for everyone using that deployment — see
docs/advanced-build.md for exact
commands.
Use your own policy without changing the shared default — keep a
personal policy.json / user_preferences.json and just mention it
("use my policy for this"); the assistant reads it and passes it in for
that call only. This is also how multiple colleagues share one deployment
with different policies — see
docs/advanced-usage.md.
docs/examples.md — worked examples: a search, checking the active policy, bringing your own policy, booking.
local-server/README.md — the browser-driven server that can autofill a booking up to payment.
docs/advanced-build.md — deploying, Google OAuth setup, running it locally.
docs/advanced-usage.md — full policy/preferences schema, the multi-colleague pattern, known limitations, safety boundary.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
whentofly: flexible-date economy/business flight search + price-level context for AI agents
Flight Intelligence MCP — search, cheapest dates, multi-city, airline compare via Google Flights
Flight search & booking for AI agents. 400+ airlines, $20-50 cheaper than OTAs.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/tarun101/corp-travel'
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