What is MCP Server Canteen?

It is a service that provides real-time data on employee restaurant usage, including breakfast and lunch dining statistics.

How do I install MCP Server Canteen?

You can install it using pip (pip install mcp-server-canteen) or uv (uv pip install mcp-server-canteen).

What environment variables do I need to configure?

You need to configure CANTEEN_API_TOKEN (API authentication token) and CANTEEN_API_BASE (API base URL).

How do I obtain the API authentication token and base URL?

Contact your system administrator to obtain these values.

How do I run the MCP Server Canteen?

You can run it using uv (uv run mcp-server-canteen) or Python (python -m mcp_server_canteen.server).

What type of data can I retrieve using MCP Server Canteen?

You can retrieve data on restaurant occupancy for specified date ranges, including breakfast and lunch dining patterns.

Can I integrate MCP Server Canteen with AI models?

Yes, it seamlessly integrates with AI models for automated decision-making.

How does UBOS enhance the value of MCP Server Canteen?

UBOS provides a comprehensive platform for developing and deploying AI Agents, enabling businesses to orchestrate AI Agents, connect to enterprise data, build custom AI Agents, and deploy multi-agent systems.

What are some use cases for integrating MCP Server Canteen with UBOS?

Automated resource allocation, predictive food ordering, personalized menu recommendations, dynamic pricing strategies, and real-time occupancy monitoring.

How can I troubleshoot common errors with MCP Server Canteen?

Refer to the error handling section in the documentation, which provides solutions for missing environment variables, incorrect date formats, API request failures, and server connection failures.