Nagoya Bus▌
by ymyzk
Access Nagoya Bus station info and timetables via API integration for convenient travel planning and city transit apps.
Integrates with Nagoya City's transportation API to retrieve bus station information and timetable data for travel planning and transit applications.
best for
- / Travel planning in Nagoya, Japan
- / Building transit apps for Nagoya
- / Local transportation assistance
capabilities
- / Query bus station information in Nagoya
- / Retrieve real-time bus timetables
- / Search for transit routes and schedules
- / Access Nagoya City transportation data
what it does
Connects to Nagoya City's transportation API to fetch bus station locations and timetable information for the Nagoya public transit system.
about
Nagoya Bus is a community-built MCP server published by ymyzk that provides AI assistants with tools and capabilities via the Model Context Protocol. Access Nagoya Bus station info and timetables via API integration for convenient travel planning and city transit apps.
how to install
You can install Nagoya Bus in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Nagoya Bus is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the Nagoya Bus MCP server?
- Nagoya Bus is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Nagoya Bus?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Nagoya Bus is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Nagoya Bus against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Nagoya Bus is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Nagoya Bus reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Nagoya Bus for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Nagoya Bus surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Nagoya Bus has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Nagoya Bus benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Nagoya Bus into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Nagoya Bus is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.