forgemeshlabs/travel-mcp
by Various
[](https://glama.ai/mcp/servers/forgemeshlabs/travel-mcp) 📇 ☁️ - Public travel search workflow MCP server for airport lookup, route comparison, timing guidance, and external booki
MCP
forgemeshlabs/travel-mcp
Added 7 June 2026
Overview
forgemeshlabs/travel-mcp is an MCP server that provides a public travel search workflow. It handles airport lookup, route comparison, timing guidance, and external booking integration. Built in JavaScript, it follows the Model Context Protocol for tool-use by AI assistants.
Best for
Best for
Developers building AI travel assistants who need a simple open-source MCP server for route and airport queries.
Use cases
- Look up airport codes and details for trip planning
- Compare flight routes between destinations
- Get timing guidance for travel scheduling
How to use
Install
npx -y @forgemeshlabs/travel-assistant-mcp Tools exposed
search_travel_optionsget_airport_infocompare_routesbuild_booking_linkexplain_travel_timing
Tested with
Claude Desktop
Notes
forgemeshlabs/travel-mcp is an MCP server that provides a public travel search workflow. It handles airport lookup, route comparison, timing guidance, and external booking integration. Built in JavaScript, it follows the Model Context Protocol for tool-use by AI assistants.
0 stars on GitHub. Last updated 2026-05-28. Licensed MIT.
Use cases
- Look up airport codes and details for trip planning
- Compare flight routes between destinations
- Get timing guidance for travel scheduling
Pros
- Open-source and publicly accessible on GitHub
- Uses standard MCP protocol for easy integration with AI agents
- Covers key travel search steps in one workflow
Cons
- No stars on GitHub indicates very limited community adoption
- May lack documentation or support for edge cases
- Features appear basic compared to commercial travel APIs
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open-source and publicly accessible on GitHub
- Uses standard MCP protocol for easy integration with AI agents
- Covers key travel search steps in one workflow
Cons
- No stars on GitHub indicates very limited community adoption
- May lack documentation or support for edge cases
- Features appear basic compared to commercial travel APIs
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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