arnfa-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ARNFA_BASE | No | Base URL of the Arnfa deployment | https://arnfa.vercel.app |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| arnfa_list_areasA | List/search Arnfa's plannable areas across Thailand (Bangkok neighbourhoods & districts, all 76 province cities, tourist spots) with real POI counts. Use to find a valid |
| arnfa_plan_dayA | Plan a weather-fit day in an area: the engine reranks real places by the forecast at each arrival time and returns an ordered itinerary. Real forecast only — never fabricated. |
| arnfa_sky_nowA | Current sky + a go-out verdict for an area (real forecast at its centre). |
| arnfa_whereB | Rank WHERE the sky is clearest across Thailand for a chosen day — the 'ไปไหนดี / where should I go' view. One bulk real forecast, never fabricated. |
| arnfa_cooling_centersA | Nearest OFFICIAL Bangkok cooling centers (ห้องหลบร้อน) to a point — for dangerous heat or PM2.5. Real กทม. open data. |
| arnfa_askA | Ask Arnfa AI in natural Thai or English — it reads the REAL sky and returns a weather-fit plan (the same grounded engine, narrated). For a follow-up that refines the last plan, pass back the |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Most tools have clearly distinct purposes, but arnfa_plan_day and arnfa_ask both produce weather-fit plans, which could cause confusion. However, the descriptions clarify that one is a direct structured planner and the other is an AI-narrated follow-up, so the overlap is manageable.
While all tools share the 'arnfa_' prefix, the naming conventions vary: 'list_areas' and 'plan_day' use verb_noun, but 'sky_now' uses noun_adverb, 'where' is just an adverb, 'cooling_centers' is a noun phrase, and 'ask' is a bare verb. This mixed style is readable but lacks a consistent pattern.
With 6 tools covering area discovery, planning, current sky, location ranking, emergency cooling centers, and natural language queries, the count is well-scoped for the intended functionality. Each tool earns its place without unnecessary bloat or sparseness.
The tool surface covers core workflows: finding areas, planning a day, checking current conditions, choosing the clearest location, and getting emergency centers. The only minor gap is the lack of a direct multi-day forecast tool, but agents can work around it by using plan_day for specific dates.