mcp · Global

mcp_travelassistant

A suite of MCP servers that enables an LLM to orchestrate specialized services to generate travel itineraries, find flights and accommodations, discover local events, analyze weather conditions and manage budgets

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What's in it

Data offered docs-verified: flights · weather · events · exchange rates · hotels · geocoding · distance calculation · stock lookup · market overview
Coverage llm-inferred: Global
Update frequency docs-verified: Real-time (no fixed interval stated)
Formats docs-verified: JSON
Access docs-verified: API keys: SerpAPI key for flights, hotels and events; weather via OpenWeatherMap or the free National Weather Service; OpenStreetMap Nominatim is free with no key. Licence: MIT.

Useful for

Use cases llm-inferred: Travel booking for site visits: flights and hotels for out-of-area project visits · Weather window check for outdoor fieldwork days using get_weather_forecast · Converting overseas supplier or travel costs from foreign currency to GBP/USD using convert_currency · Estimating travel distance between sites for mileage or travel-cost estimates using calculate_distance
Audience llm-inferred: Consultancy travel coordinators · Project managers · Field engineers planning site visits

Limitations

Constraints llm-inferred: Weather forecasts become less accurate beyond 7 days · Some APIs have rate limits and need requests spaced out · Requires Claude Desktop and a local Python 3.8+ / uv install per server · Requires a SerpAPI key for flight, hotel, event and finance tools · Travel-focused: no UK water, civils or environmental datasets are offered · Tool argument names are not documented in DOCS; example arguments are inferred · Individual servers may carry different licences

Licence: MIT
Authentication: Credentials via env: SERPAPI_KEY (README-verified)
GitHub stars: 61
Last commit: 19/06/2025
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search