Connect-MCP

RoamTime Japan Foliage Forecast

ai.roamtime/foliage · v1.0.0

Forecast peak autumn-foliage dates for viewing spots across Japan. Free tier, no key.

MCPremoteno credentialsWeatherScience & open dataDocuments & PDF

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 100/100

What it does: 4 tools · 4 read, 0 write · Weather, AI & LLM, Documents & PDF

Test call get_coverage: worked (1,212 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://api.roamtime.ai/mcp

Tools

4 tools listed at last check
  • get_coverage Describe what the RoamTime Japan autumn-foliage (koyo) forecast covers: forecast year and issue date, season span, regions and prefectures, spot count, and the access tier (free tier or full dataset). Call this first to orient yourself, to check whether a place or date is in scope, and to learn the
  • find_peak_spots Find Japan autumn-foliage viewing spots whose forecast best-viewing window covers a date or date range, optionally near a place. Use it for 'where should I go on <date>?', 'when does <place> peak?', and 'is <spot> still at peak on <date>?' questions. Give a date (or date_from/date_to) plus optionall
  • search Search Japan autumn-foliage viewing spots by free text: a spot name (English or Japanese), a prefecture, a region, or a month such as 'November'. Returns matching spot ids, titles, and page URLs; pass an id to fetch for the full forecast. Example queries: 'Kyoto', 'Nikko', '奥入瀬', 'Tohoku November'.
  • fetch Fetch the full forecast document for one foliage spot by id (the slug returned by search or find_peak_spots, e.g. 'tenryuji-temple'): peak window, confidence, status, nearest rail station, leaf type, and page URL.

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