Provides live Japan seasonal travel data for blossoms, autumn leaves, flowers, fruit picking, festivals, and weather.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Japan Seasons MCP.
Give your AI assistant live Japan travel data — cherry blossom forecasts, autumn leaves, fruit picking, flowers, festivals & more.
1,700+ spots. 17 tools. Live data from Japan Meteorological Corporation.
Live map · Hosted MCP endpoint · npm
| Cherry blossom map | Spot detail & weather |
|---|---|
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| Fruit picking | What's On in Japan |
|---|---|
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| Flowers in season | Mobile |
|---|---|
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You ask Claude, ChatGPT, or Gemini: "When should I visit Kyoto for cherry blossoms?"
You get "late March to early April" — the same answer every year, based on training data that has no idea what this winter was like.
The actual bloom date shifts by 2–3 weeks depending on temperatures. Tokyo peaked March 29 in 2024, March 22 in 2023, March 28 in 2022 — a 7-day spread in just two years. Your AI is guessing. This MCP server stops the guessing.
It connects Claude (or any MCP client) to live forecast data from the Japan Meteorological Corporation — the same data that powers SAKURA NAVI and Japan's major cherry blossom forecast sites. Bloom meters update daily at 9 AM JST; spot observations update when JMC reporters file.
Real bloom percentages. Real park names. Real weather.
There are two different ways an AI assistant can use Japan in Seasons:
For AI search, use these crawlable sources:
https://seasons.kooexperience.com/sakura-forecast.txthttps://seasons.kooexperience.com/api/sakura/forecasthttps://seasons.kooexperience.comNo package install is needed when the client supports remote/streamable HTTP MCP. Add this as the MCP server/app/connector URL:
For ChatGPT Apps/Connectors, use:
Japan in SeasonsUse this for live Japan seasonal travel data: cherry blossom and sakura dates, autumn leaves, flowers, festivals, fruit picking, and weather. Best for current or date-specific Japan travel questions.https://seasons.kooexperience.com/mcpAdd this to the client's MCP config:
Optional connection preferences supported by the hosted endpoint:
dateStyle — friendly or isotemperatureUnit — celsius or fahrenheitincludeCoordinates — true or falsemapLanguage — english or japaneseOptional durable cache for the hosted web map:
Point JAPAN_SEASONS_CACHE_DIR at a persistent volume, for example a Railway Volume mounted at /data. This stores the warmed national sakura/koyo all-spots JSON across restarts; without it, the app falls back to in-memory cache and still works.
ChatGPT Search can discover japan-seasons-mcp as a web result, but web discovery is not the same as connecting an MCP server. If the chat only has web search enabled, it should cite the crawlable forecast pages or JSON API. To run tools like sakura_now, sakura_forecast, or sakura_spots, the MCP endpoint must first be added as a ChatGPT app/connector or configured in another MCP client.
| Season | Data | Spots | Source |
|---|---|---|---|
| Jan–Feb | Kawazu cherry (early deep-pink variety, Izu Peninsula) | 9 spots | JMC live |
| Jan–Mar | Plum blossoms | 8 spots | curated |
| Mar–May | Cherry blossom (sakura) | 1,012 parks & temples | JMC live, daily |
| Apr–May | Wisteria | 13 spots | curated |
| May–Jun | Iris gardens | 9 spots | curated |
| Jun–Jul | Hydrangea | 15 spots | curated |
| Jun–Jul | Lavender fields | 6 spots | curated |
| Jul–Aug | Fireworks festivals & summer matsuri | 46 events | curated |
| Jul–Aug | Sunflower fields | 7 spots | curated |
| May–Nov | Fruit picking | 346 farms, 14 fruits | Jalan + Navitime |
| Sep–Oct | Cosmos fields | 8 spots | curated |
| Oct–Dec | Autumn leaves (koyo) | 687 viewing spots | JMC live |
| Jan–Feb | Winter events (Sapporo Snow Festival, etc.) | 8 events | curated |
1,700+ GPS-tagged spots across 12 seasonal categories.
japan_seasonal_answer — answer a broad traveler question
Use this when someone asks a normal question instead of naming a dataset: "How is the sakura forecast?", "What is good in Japan in June?", "Where should I see autumn leaves in late November?", or "What seasonal activities match my dates?" It routes to the right live or curated dataset and returns a ready-to-use recommendation.
sakura_now — current cherry blossom answer
The best first call for broad sakura prompts. It summarizes what is good now, what is coming next, or what matched the user's trip dates, using live JMC forecast/observation data, and includes a short list of specific viewing spots when spot data is available.
koyo_now — current autumn leaves answer
The autumn equivalent of sakura_now: current koyo timing, maple/ginkgo peaks, trip-date matches, and next-step guidance for exact spots.
search / fetch — retrieval-friendly access
Provider-friendly search/fetch tools for ChatGPT-style retrieval and deep-research citation flows. search returns result IDs; fetch returns full text with a canonical URL.
sakura_forecast — the big picture
All 48 JMA observation cities in one call: this year's forecast, actual dates when observed, and how each city compares to the historical average. Good starting point before you drill into specific spots.
sakura_spots — specific parks and temples
1,012 spots across Japan with current status, bloom percentages, and GPS coordinates. When JMC spot reporters have filed a recent update (within 48 hours), the tool uses that observed status as the primary reading. Otherwise it falls back to the JMC bloom-meter forecast. Stale observations are shown as context, not hidden.
sakura_best_dates — match travel dates to bloom
Give it your start and end dates, get back the cities where full bloom overlaps your window plus a short list of specific viewing spots when spot data is available.
kawazu_forecast — early-season deep-pink variety
Kawazu cherry blooms January–February in Izu Peninsula, months before standard sakura opens anywhere.
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