Frequently Asked Questions (FAQ) about MCP Docs Provider

Q: What is the MCP Docs Provider? A: The MCP Docs Provider is a tool that allows Large Language Models (LLMs) to access and query your local markdown technical documentation via the Model Context Protocol (MCP). It enhances the context awareness of your AI models.

Q: What is MCP? A: MCP (Model Context Protocol) is an open standard that defines how applications provide context to LLMs. It enables AI tools and data sources to communicate effectively with LLMs.

Q: How do I install the MCP Docs Provider? A: You can install it via Smithery using the command: npx -y @smithery/cli install @YassineTk/mcp-docs-provider --client claude.

Q: How do I configure the MCP Docs Provider with Cursor? A: Add the following configuration to your Cursor’s mcp.json file:

{ “mcpServers”: { “mcp-docs-provider”: { “command”: “npx”, “args”: [ “-y”, “mcp-docs-provider”, “/path/to/your/documentation.md” ] } } }

Replace /path/to/your/documentation.md with the path to your documentation file.

Q: Do I need to rebuild after updating my Markdown documentation? A: No, rebuild is required. The MCP Docs Provider automatically uses the latest version of your documentation.

Q: Can I customize how the documentation context is used? A: Yes, you can define custom MCP client rules to fine-tune the behavior of your LLMs.

Q: Is the MCP Docs Provider open source? A: Yes, it is an open-source project, allowing you to customize it and contribute to its development.

Q: What is UBOS? A: UBOS is a full-stack AI Agent development platform that helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents, and create multi-agent systems.

Q: How does the MCP Docs Provider integrate with UBOS? A: By combining the MCP Docs Provider with the UBOS platform, you can create AI Agents that are not only intelligent but also deeply knowledgeable about your business and your data.