norikae-mcp

by tysonwu

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🚃 乗換案内MCP - 乗り換え検索 / Norikae MCP - Japanese train route search using Yahoo! Transit

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Author
tysonwu
Categories
Other, Search, Knowledge Base

Claude Desktop での設定 / Claude Desktop Configuration

Open the config file and add the following:

macOS:~/Library/Application Support/Claude/claude_desktop_config.json

Windows:%APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "norikae": { "command": "npx", "args": ["-y", "norikae-mcp"] } } }

~/.cursor/mcp.jsonまたは プロジェクトの.cursor/mcp.jsonに以下を追加:

Add the following to~/.cursor/mcp.jsonor your project's.cursor/mcp.json:

{ "mcpServers": { "norikae": { "command": "npx", "args": ["-y", "norikae-mcp"] } } }

Search for train routes between stations.

使用例(自然言語 → オプション)/ Usage Examples (Natural Language → Options)

When you ask the AI in natural language, the appropriate options are automatically set.

例1 / Example 1: 出張で節約したい / Budget business trip

「明日の朝10時までに東京から大阪に着きたい、新幹線なしで、一番安いルートで」 "I need to arrive in Osaka from Tokyo by 10 AM tomorrow, without Shinkansen, cheapest route"

from: 東京,to: 大阪,timeType: arrival,hour: 10,useShinkansen: false,sortBy: fare

例2 / Example 2: 観光でゆっくり / Leisurely sightseeing

「京都から奈良まで、ゆっくり歩きで」 "From Kyoto to Nara, walking slowly"
「今すぐ渋谷から羽田空港、最速で、早歩きで」 "Right now from Shibuya to Haneda Airport, fastest route, fast walking"

from: 渋谷,to: 羽田空港,sortBy: time,walkSpeed: fast

例4 / Example 4: 複雑な条件 / Complex conditions

「来週の金曜日、18時に品川に着くように新宿から、新幹線と飛行機は使わないで、乗り換え少ない順で」 "Next Friday, arriving at Shinagawa by 6 PM from Shinjuku, no Shinkansen or planes, fewest transfers"

from: 新宿,to: 品川,timeType: arrival,hour: 18,useShinkansen: false,useAirline: false,sortBy: transfer

例5 / Example 5: 経由駅を指定 / Specifying via stations

「東京から新宿まで、表参道と飯田橋を経由して、一番安いルートで」 "From Tokyo to Shinjuku via Omotesando and Iidabashi, cheapest route"

from: 東京,to: 新宿,via: ["表参道", "飯田橋"],sortBy: fare

例6 / Example 6: 観光ルート / Sightseeing route

「浅草から原宿まで、上野と秋葉原と東京を通って、ゆっくり歩きで」 "From Asakusa to Harajuku, passing through Ueno, Akihabara, and Tokyo, walking slowly"

from: 浅草,to: 原宿,via: ["上野", "秋葉原", "東京"],walkSpeed: slow

# リポジトリをクローン / Clone the repository git clone https://github.com/YOUR_USERNAME/norikae-mcp.git cd norikae-mcp # 依存関係のインストール / Install dependencies npm install # ビルド / Build npm run build # 開発モード / Development mode (watch) npm run dev # テスト実行 / Run tests npm test

- MCP SDK:@modelcontextprotocol/sdk
- データソース / Data source: Yahoo!乗換案内 (transit.yahoo.co.jp)
- ランタイム / Runtime: Node.js 18+

- このMCPはYahoo!乗換案内のWebページをスクレイピングしていますThis MCP scrapes Yahoo! Transit web pages
- 個人利用を想定していますIntended for personal use
- Yahoo! JAPANの利用規約をご確認くださいPlease check Yahoo! JAPAN's terms of service
- リアルタイムの遅延情報は含まれない場合がありますReal-time delay information may not be included

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日本の電車乗り換え検索ができるMCP(Model Context Protocol)サーバーです。 Yahoo!乗換案内のデータを使用して、駅から駅への最適なルートを検索できます。

An MCP (Model Context Protocol) server for searching train routes in Japan. Uses Yahoo! Transit data to find optimal routes between stations.

- 🚉 駅から駅への乗り換えルート検索 / Station-to-station route search
- 🔀 経由駅の指定(最大3駅)/ Via station specification (up to 3 stations)
- ⏰ 指定時刻での検索(出発・到着時刻指定)/ Departure or arrival time specification
- 💰 IC運賃の表示 / IC card fare display
- 🔄 乗り換え回数・所要時間の比較 / Transfer count and travel time comparison

または、npxで直接実行 / Or run directly with npx:

Claude Desktop での設定 / Claude Desktop Configuration

Open the config file and add the following:

macOS:~/Library/Application Support/Claude/claude_desktop_config.json

Windows:%APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "norikae": { "command": "npx", "args": ["-y", "norikae-mcp"] } } }

~/.cursor/mcp.jsonまたは プロジェクトの.cursor/mcp.jsonに以下を追加:

Add the following to~/.cursor/mcp.jsonor your project's.cursor/mcp.json:

{ "mcpServers": { "norikae": { "command": "npx", "args": ["-y", "norikae-mcp"] } } }

Search for train routes between stations.

使用例(自然言語 → オプション)/ Usage Examples (Natural Language → Options)

When you ask the AI in natural language, the appropriate options are automatically set.

例1 / Example 1: 出張で節約したい / Budget business trip

「明日の朝10時までに東京から大阪に着きたい、新幹線なしで、一番安いルートで」 "I need to arrive in Osaka from Tokyo by 10 AM tomorrow, without Shinkansen, cheapest route"

from: 東京,to: 大阪,timeType: arrival,hour: 10,useShinkansen: false,sortBy: fare

例2 / Example 2: 観光でゆっくり / Leisurely sightseeing

「京都から奈良まで、ゆっくり歩きで」 "From Kyoto to Nara, walking slowly"
「今すぐ渋谷から羽田空港、最速で、早歩きで」 "Right now from Shibuya to Haneda Airport, fastest route, fast walking"

from: 渋谷,to: 羽田空港,sortBy: time,walkSpeed: fast

例4 / Example 4: 複雑な条件 / Complex conditions

「来週の金曜日、18時に品川に着くように新宿から、新幹線と飛行機は使わないで、乗り換え少ない順で」 "Next Friday, arriving at Shinagawa by 6 PM from Shinjuku, no Shinkansen or planes, fewest transfers"

from: 新宿,to: 品川,timeType: arrival,hour: 18,useShinkansen: false,useAirline: false,sortBy: transfer

例5 / Example 5: 経由駅を指定 / Specifying via stations

「東京から新宿まで、表参道と飯田橋を経由して、一番安いルートで」 "From Tokyo to Shinjuku via Omotesando and Iidabashi, cheapest route"

from: 東京,to: 新宿,via: ["表参道", "飯田橋"],sortBy: fare

例6 / Example 6: 観光ルート / Sightseeing route

「浅草から原宿まで、上野と秋葉原と東京を通って、ゆっくり歩きで」 "From Asakusa to Harajuku, passing through Ueno, Akihabara, and Tokyo, walking slowly"

from: 浅草,to: 原宿,via: ["上野", "秋葉原", "東京"],walkSpeed: slow

# リポジトリをクローン / Clone the repository git clone https://github.com/YOUR_USERNAME/norikae-mcp.git cd norikae-mcp # 依存関係のインストール / Install dependencies npm install # ビルド / Build npm run build # 開発モード / Development mode (watch) npm run dev # テスト実行 / Run tests npm test

- MCP SDK:@modelcontextprotocol/sdk
- データソース / Data source: Yahoo!乗換案内 (transit.yahoo.co.jp)
- ランタイム / Runtime: Node.js 18+

- このMCPはYahoo!乗換案内のWebページをスクレイピングしていますThis MCP scrapes Yahoo! Transit web pages
- 個人利用を想定していますIntended for personal use
- Yahoo! JAPANの利用規約をご確認くださいPlease check Yahoo! JAPAN's terms of service
- リアルタイムの遅延情報は含まれない場合がありますReal-time delay information may not be included

Semantic search through Dickens' classic tale. Find passages by meaning, theme, or concept - not just keywords.

MCP server for the AI Dev Jobs board - 8,400+ open AI/ML engineering roles at 489 companies. Search by role, location, salary, experience level. Live MCP endpoint aidevboard.com/mcp with 4 tools.

API for AI agents to search, license, and download b-roll video clips and voiceovers. Pay-per-request, no human interaction required.

Keyless remote MCP connector to search flights, hotels, and experiences at all-in prices (every mandatory tax and fee included) and book on breckenwander.com.

EU legal research for AI agents: semantic + full-text search over ~48,000 EUR-Lex acts including consolidated versions, daily drift monitoring, answers with verifiable CELEX citations. German, English, French. Remote MCP server at https://conformi.eu/api/mcp — free tier, no key required for article and timeline tools.

Corpus search and linguistic analysis for AI Agents

Security intelligence MCP server — 20 tools: CVE lookup (EPSS/KEV), domain recon, SSL, IP reputation, IOC, exploit search, code security. Free, no API key.

Destiny Codex turns the Destiny 2 Manifest (gibberish hash-reference JSON) into clean, AI-readable text. CLI + MCP server with 9 tools: search, filter, get, relationships, graph traversal, item comparison. Works for 100% of the manifest - all 83 definition tables supported generically.

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