arnfa-mcp
Enables AI agents to plan weather-aware trips across Thailand by providing real-time sky conditions, area search, and weather-fit itinerary generation for 150+ locations through Arnfa's API.
README
arnfa-mcp
MCP server for Arnfa — weather-aware trip planning across Thailand. Lets any AI agent read the Thai sky and plan a weather-fit day in 150+ areas (Bangkok neighbourhoods & districts, all 76 province cities, tourist hotspots).
Reads Arnfa's open API — no key, no fabrication (real forecast or an honest error).
Tools
arnfa_list_areas(query?, tier?)— find a valid area key (search by Thai/English name).arnfa_plan_day(area, budget?, day?)— an ordered, weather-fit itinerary;day0–6 plans ahead.arnfa_sky_now(area)— current sky + a go-out verdict for one area.arnfa_where(day?)— rank WHERE the sky is clearest across Thailand ("ไปไหนดี").arnfa_cooling_centers(lat, lng, n?)— nearest official Bangkok cooling refuges (ห้องหลบร้อน) for dangerous heat / PM2.5.arnfa_ask(message, prior?)— ask in natural Thai/English; the grounded engine reads the real sky and narrates a plan. Pass back the previous reply'sintentaspriorto refine (multi-turn).
Quickstart
npx arnfa-mcp # runs the stdio MCP server, no install
Wire into a client (e.g. Claude Code .mcp.json):
{ "mcpServers": { "arnfa": { "command": "npx", "args": ["-y", "arnfa-mcp"] } } }
From source
npm install && npm run build
node dist/index.js # stdio MCP server
ARNFA_BASE=http://localhost:3248 npm run smoke # quick check against a deployment
ARNFA_BASE (default https://arnfa.vercel.app) points the tools at any Arnfa deployment.
MIT.
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