The app.faqai/mcp-server turns an input document into a production-ready RAG dataset. It is designed to work with Claude, Cursor, or any MCP host, enabling document-to-RAG dataset preparation as part of an MCP-based workflow.
🛠️ Key Features
- Convert a document into a production-ready RAG dataset
- Supports use with Claude, Cursor, and any MCP host
🚀 Use Cases
- Building RAG datasets from existing documents
- Integrating RAG dataset creation into an MCP host workflow (e.g., Claude, Cursor, others)
⚡ Developer Benefits
- Streamlines dataset generation for retrieval-augmented generation (RAG)
- Provides a consistent MCP server interface for document-to-dataset processing across MCP hosts
⚠️ Limitations
- No additional details (e.g., supported formats, configuration, or tooling count) were provided in the available server data