Caltrain
by davidyen1124
Get real-time Caltrain schedules, station info, and trip planning. Check Caltrain hours and cal train time for your Bay
What it does
Provides real-time Caltrain schedules and station information for San Francisco Bay Area commuters. Uses official GTFS data to show next departures between any stations.
About
Caltrain is a community-built MCP server published by davidyen1124 that provides AI assistants with tools and capabilities via the Model Context Protocol. Get real-time Caltrain schedules, station info, and trip planning. Check Caltrain hours and cal train time for your Bay It is categorized under developer tools, analytics data. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install Caltrain 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
NOASSERTION
Caltrain is released under the NOASSERTION license.
Readme
Get real-time Caltrain schedules, station info, and trip planning. Check Caltrain hours and cal train time for your Bay
TL;DR: Provides real-time Caltrain schedules and station information for San Francisco Bay Area commuters. Uses official GTFS data to show next departures between any stations.
What it does
- Get next train departures between stations
- List all Caltrain stations
- Plan trips with time-specific queries
- Search stations with partial names
Best for
- Bay Area commuters planning train trips
- Transit apps needing Caltrain data
- Travel planning applications
Highlights
- Uses official GTFS data
- Real-time departure information
- Smart station name search
Frequently Asked Questions
- What is the Caltrain MCP server?
- Caltrain 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 Caltrain?
- This profile displays 65 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.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Build agents that actually work
Hands-on bootcamps on MCP, tool use, and multi-agent architectures — taught by practitioners.
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.5★★★★★65 reviews- ★★★★★Alexander Liu· Dec 28, 2024
We wired Caltrain into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Dhruvi Jain· Dec 20, 2024
We evaluated Caltrain against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Emma Khan· Dec 20, 2024
Strong directory entry: Caltrain surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★James Abbas· Dec 12, 2024
Caltrain has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Alexander Wang· Dec 8, 2024
I recommend Caltrain for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Alexander Li· Dec 4, 2024
Caltrain is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Kabir Bansal· Nov 23, 2024
Useful MCP listing: Caltrain is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★James Rahman· Nov 19, 2024
Caltrain reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Oshnikdeep· Nov 11, 2024
Caltrain has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★James Okafor· Nov 11, 2024
Strong directory entry: Caltrain surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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