What is the MCP Server used for?
The MCP Server is used for RAG-based document search and management, leveraging semantic search capabilities to enhance document retrieval and organization.
How does the MCP Server improve document management?
The server allows for the addition of metadata to documents, supports semantic search, and provides tools for listing, organizing, and deleting documents efficiently.
What embedding providers does the MCP Server support?
The MCP Server supports both Ollama (free) and OpenAI (paid) embeddings, offering flexibility in embedding provider choice.
Can the MCP Server be integrated with other platforms?
Yes, the MCP Server can be integrated with the UBOS platform, enhancing its capabilities with AI-driven document management and retrieval.
What are the prerequisites for using the MCP Server?
Prerequisites include Node.js 16 or higher, a Qdrant setup (local or cloud), and an embedding provider (Ollama or OpenAI).
RagDocs
Project Details
- heltonteixeira/ragdocs
- @mcpservers/ragdocs
- Apache License 2.0
- Last Updated: 4/14/2025
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