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Modular RAG MCP Server

by wuwux666

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      D
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    • A
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      Enables AI agents to query and manage a document knowledge base via MCP, with RAG-powered search and grounded answers with citations.
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      Provides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.
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    • A
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      quality
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      Turns any folder of PDFs, markdown, and text files into a local, queryable knowledge base exposed as an MCP server. Enables MCP-compatible agents to semantically search indexed documents, retrieve relevant passages with source and relevance scores, list or reindex documents, and inspect cache and token usage — instead of reading whole files into context.
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    • A
      license
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      quality
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      Enables MCP-capable AI assistants to browse, search, and retrieve cited, trust-aware answers from enterprise documents by converting them into a searchable knowledge base with provenance.
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