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dannwaneri

Vectorize MCP Server

by dannwaneri

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      Enables local semantic search over documents and code for Claude Code and Claude Desktop, running entirely offline with local embeddings and vector storage.
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      Enables Claude Desktop to search and query personal document collections (PDF, Word, Markdown, text) using semantic search and conversational AI with full context preservation across exchanges.
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      Turns Claude Desktop into a personal document question-answering system using local vector search. Index PDF, TXT, and Markdown documents into collections and get answers based strictly on your documents with zero hallucination.
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    TDQS

    A3.7/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: one returns a synthesized answer using AI, the other returns raw search results by semantic similarity. No overlap or confusion possible.

    Naming Consistency5/5

    Both tool names follow a consistent adjective_noun pattern using snake_case, making them predictable and coherent.

    Tool Count3/5

    With only 2 tools, the server feels minimal for a knowledge base. While it covers query and Q&A, it lacks the breadth expected (e.g., CRUD), but the count is not extreme.

    Completeness2/5

    The server provides only read/query operations, missing essential write capabilities like adding, updating, or deleting documents. This is a significant gap for a knowledge base server.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues