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Modular RAG MCP Server

by nobitalqs

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      A modular RAG framework exposing MCP tools for hybrid document search, enabling AI assistants to query private knowledge bases with multimodal support and full observability.
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    • A
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      A modular RAG framework exposing knowledge retrieval tools via MCP, enabling AI assistants to perform hybrid search, reranking, and multimodal document queries with full observability and evaluation.
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    • A
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      A pluggable, observable modular RAG service framework that exposes tool interfaces via the MCP protocol, enabling AI assistants like Copilot and Claude to directly invoke knowledge retrieval and reasoning capabilities.
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    • F
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      quality
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      A pluggable, observable modular RAG service framework that exposes tool interfaces via the MCP protocol, enabling AI assistants like Copilot and Claude to directly query knowledge bases.
      1
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    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool serves a unique purpose: ingestion, deletion, listing collections, querying, and document summary retrieval. No functional overlap exists between these tools.

    Naming Consistency5/5

    All tool names follow the verb_noun pattern consistently (e.g., delete_document, list_collections). No mixing of camelCase or other conventions.

    Tool Count5/5

    With 5 tools, the server covers the essential operations for a RAG knowledge base: add, remove, list, detail, and search. The count is well-scoped without bloat.

    Completeness4/5

    Covers core CRUD and query operations. Missing an explicit tool to list all documents within a collection (only collections are listed), and no update tool (though delete+re-ingest is a workaround). Minor gaps but overall sufficient.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues