A Model Context Protocol (MCP) server that promises to tell you _exactly_ when the next Caltrain will arrive... and then be 10 minutes late anyway.
Caltrain mcp mcp server connects Caltrain MCP to AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server that promises to tell you exactly when the next Caltrain will arrive... and then be 10 minutes late anyway. Uses real GTFS data, so at least the disappointment is official!.
A Model Context Protocol (MCP) server that promises to tell you exactly when the next Caltrain will arrive... and then be 10 minutes late anyway. Uses real GTFS data, so at least the disappointment is official!
The server is distributed via PyPI as caltrain-mcp, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Caltrain MCP sits in that group. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"caltrain": {
"command": "uvx",
"args": ["caltrain-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.