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by ragieai • Search & Retrieval
An MCP server that lets AI agents query a Ragie knowledge base to retrieve relevant content chunks.
Search and retrieve relevant passages from a Ragie knowledge base to ground answers or provide citations.
Integrate knowledge retrieval into developer tools like Cursor or Claude Desktop via MCP configuration.
Configurable retrieval (top-K, reranking, recency bias) to prioritize the most relevant or recent knowledge snippets.
This Model Context Protocol (MCP) server exposes Ragie knowledge-base retrieval as a single 'retrieve' tool over stdio. It accepts queries and options (topK, rerank, recencyBias) and returns matching content chunks to inform model responses. The server is easy to integrate with tools like Cursor and Claude Desktop and is configurable with a Ragie API key and optional partitioning. It simplifies connecting LLM agents to organization knowledge stored in Ragie.
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