Question 1

What is an MCP Server?

Accepted Answer

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

Question 2

What is the UBOS MCP Calculator Server?

Accepted Answer

The UBOS MCP Calculator Server is a specific implementation of an MCP server that provides basic arithmetic operations (add, subtract, multiply, divide) through a REST API. It can be deployed in Smithery and other environments.

Question 3

What are the key features of the UBOS MCP Calculator Server?

Accepted Answer

Key features include basic arithmetic operations, MCP-compliant API endpoints, JSON schema validation, error handling, multiple communication modes (HTTP, WebSocket, stdio), and specialized entry points for different deployment scenarios.

Question 4

How do I install the UBOS MCP Calculator Server?

Accepted Answer

1. Create a virtual environment.n2. Install dependencies using `pip install -r requirements.txt`.

Question 5

What are the different deployment modes?

Accepted Answer

* HTTP Mode: Recommended for production and container environments.n* Smithery Mode: For local tool integration with Smithery.n* Dual Mode: For development and testing (not recommended for production).

Question 6

How do I run the server in HTTP mode?

Accepted Answer

Set the environment variable `MCP_HTTP_MODE=1` and run `uvicorn server:app --host 0.0.0.0 --port 8000`.

Question 7

How do I run the server in Smithery mode?

Accepted Answer

Set the environment variable `MCP_STDIO_MODE=1` and run `python server.py`.

Question 8

What are the API endpoints?

Accepted Answer

* `GET /health`: Health check.n* `GET /tools`: List available tools and schemas.n* `POST /`: JSON-RPC endpoint for MCP protocol.n* `POST /mcp`: Dedicated MCP-compatible JSON-RPC endpoint for Smithery integration.

Question 9

How does the server handle errors?

Accepted Answer

The server provides clear error messages for invalid operations, division by zero, insufficient operands, invalid parameter types, and JSON-RPC protocol errors.

Question 10

How do I integrate the server with Smithery?

Accepted Answer

For local tool integration, use stdio mode with the `MCP_STDIO_MODE=1` and `LOGGING_CONFIG=stdio` environment variables. For remote tool integration, use HTTP mode with the dedicated `/mcp` endpoint.

Question 11

Can I deploy the server in a Docker container?

Accepted Answer

Yes, you can build and run the Docker container using `docker build -t mcp-calculator-server .` and `docker run -p 8000:8000 mcp-calculator-server`.

Question 12

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with LLM models, and create Multi-Agent Systems.

Question 13

How does the UBOS MCP Calculator Server integrate with the UBOS Platform?

Accepted Answer

The server provides AI agents within the UBOS platform with the ability to perform arithmetic calculations as part of their decision-making processes, enhancing their capabilities and expanding their potential applications.

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