What is the MCP Server?
The MCP Server is an open protocol server that enables semantic search and retrieval of documentation using a vector database, Qdrant.
How does the MCP Server enhance AI agent capabilities?
The server acts as a bridge, allowing AI models to access and interact with external data sources, providing the context needed for efficient task execution.
Can I add documentation from local files?
Yes, the MCP Server allows you to add documentation from both URLs and local files.
Is the MCP Server compatible with cloud-based setups?
Yes, the server supports both local and cloud-based Qdrant setups, providing flexibility in configuration.
What platforms is the MCP Server compatible with?
The server is compatible with platforms like Cline, Roo-Code, and Claude Desktop, allowing seamless integration into existing workflows.
What are the system requirements for installing the MCP Server?
You need Node.js 16 or higher, and either a local or cloud-based Qdrant setup. Embedding options include Ollama running locally or an OpenAI API key.
How can I verify the installation of the MCP Server?
You can verify the installation by checking if Qdrant is running and ensuring the embedding model is available with Ollama.
RAGDocs
Project Details
- qpd-v/mcp-ragdocs
- @qpd-v/mcp-server-ragdocs
- Apache License 2.0
- Last Updated: 4/18/2025
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