About Infobús MCP
Infobús MCP is an MCP server that lets AI assistants and chatbots access transit information through standardized interfaces. It targets developers adding transit data to conversational AI tools.
Key features
- 01Trip planning tools
- 02Real-time transit information queries
- 03Natural language transit assistance
- 04Integration with LLMs and conversational AI platforms
Use cases
- 01Planning public transit trips from an AI assistant
- 02Answering transit questions in a chatbot
MCP support
The project is an MCP server that exposes transit information tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP
Model Context Protocol server enabling AI assistants and chatbots to access transit information through standardized interfaces. Provides tools for trip planning, real-time information queries, and natural language transit assistance with integration support for LLMs and conversational AI platforms.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.