Frequently Asked Questions (FAQ)

Q: What is an MCP Server? A: MCP stands for Model Context Protocol. An MCP 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 LLMs.

Q: What is the UBOS Platform? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

Q: How do I install the MCP Cooking Units Converter? A: You can install it either via Smithery using the command npx -y @smithery/cli install @sellisd/mcp-units --client claude or manually by cloning the repository and using uv pip install ..

Q: What units can the MCP Cooking Units Converter convert between? A: It supports conversions between the following units:

• Volume: ml, l, cup, tbsp, tsp
• Weight: g, kg, oz, lb
• Temperature: Celsius ©, Fahrenheit (F)

Q: How do I integrate the MCP Cooking Units Converter with VSCode? A: Install an MCP-compatible VSCode extension (e.g., Roo) and configure the extension to use the server in .roo/mcp.json with the provided configuration.

Q: Is the MCP Cooking Units Converter open source? A: Yes, it is licensed under the MIT License.

Q: What are the system requirements for running the server? A: You need Python and uv installed. The server can then be run using the command uvx --with . python -m mcp_units.server.

Q: Can I use this with other AI tools besides Claude? A: Yes, as long as the AI tool supports the Model Context Protocol (MCP).

Q: Where can I find more information about the Model Context Protocol (MCP)? A: You can find more information on the smithery.ai website. MCP is an open protocol that standardizes how applications provide context to LLMs.