bus-scheduling-mcp
AI & Memory
Local
Enables LLM clients to access scheduling data, KPIs, routes, and trigger optimization algorithms via MCP.
How to connect
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Glama registry
View https://glama.ai/mcp/servers/wv3y3raojc for deploy options, or install from https://github.com/uwmyuan/transit-scheduling-mcp (see README for MCP config).
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GitHub
Install from https://github.com/uwmyuan/transit-scheduling-mcp and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Use Connect or Install above, then open your MCP client to see the live tool list.