Frequently Asked Questions about UBOS MCP Server

Q: What is the UBOS MCP Server?

A: The UBOS MCP (Model Context Protocol) Server is a platform that facilitates the integration and management of various tools with AI models. It allows AI models to interact with external data sources and tools, acting as a bridge between them.

Q: What does MCP stand for?

A: MCP stands for Model Context Protocol. It’s a framework for integrating LLMs and managing tools that expose external data.

Q: What technologies is the MCP Server built with?

A: The MCP Server is built using Node.js and Express.js.

Q: What tools are currently available in the MCP Server?

A: The current tools include /ai-web-scraper (AI-powered web scraping), /ai-web-search (AI-enhanced search), and /image-generation (image generation from prompts).

Q: How do I install the MCP Server?

A: First, clone the repository, navigate to the project directory, and then install the dependencies using npm install or yarn install.

Q: How do I run a specific tool in the MCP Server?

A: Navigate to the tool’s directory, set the JIGSAWSTACK_API_KEY environment variable with your API key, and then start the server using npm start.

Q: Where do I get the JIGSAWSTACK_API_KEY?

A: You can obtain your JIGSAWSTACK_API_KEY by signing up for a free account at JigsawStacks.

Q: How do I access the MCP Server once it’s running?

A: Access the server through your web browser at http://localhost:3000.

Q: Can I add my own tools to the MCP Server?

A: Yes, the modular architecture allows you to add, remove, or update tools without affecting the overall system.

Q: How does the MCP Server integrate with UBOS?

A: The UBOS MCP Server seamlessly integrates with the UBOS platform, a full-stack AI Agent development platform, allowing you to orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents.

Q: Where can I get help if I have questions or issues?

A: You can contact us at hello@jigsawstack.com for any questions or issues.