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NiKuma0
by NiKuma0

Related Servers

Alternatives to tolstoy-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude to search and read the user's local document collection (PDF, Word, Excel, Markdown, plain text) during a conversation by subject, by file name/path, or by exact word, and to retrieve file contents page by page. It also supports finding folders relevant to a topic and checking indexing status, with everything running locally on the user's machine.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude Code to perform local hybrid search over crawled web pages and personal PDF, Markdown, HTML, and text documents, returning cited passages with source, section, page, and score details. It also exposes tools to list documents, retrieve full document text, and check index status.
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude to query a locally imported collection of PDF, TXT, and MD files via SQLite FTS5 full-text search (including Chinese), and to browse notebooks, source files, and individual passages. Every search result carries traceable citations such as filename, page number, line number, or timestamp.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables Claude to search locally indexed exported chat history and project docs, retrieving full messages and conversation IDs via full-text search.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables local RAG-based book and PDF search through Claude Desktop, using hybrid BM25 and vector retrieval with ChromaDB, plus optional OCR for scanned documents.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI hosts such as Claude Desktop, Cursor, and Cline to search, ask questions of, and receive cited answers from a local hybrid vector-plus-BM25 index built over scattered notes, project docs, PDFs, and chat logs. Exposes 8 tools with resources and prompts so agents can retrieve section-level citations from a personal knowledge base without leaving their own interface.
      -

    TDQS

    B3.4/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: 'recall' performs hybrid search for fragments by topic, while 'read_document' sequentially reads a full document. An agent can easily tell them apart without overlap.

    Naming Consistency4/5

    'read_document' follows a clear verb_noun pattern, but 'recall' is a bare verb without an object, deviating slightly. Both are lowercase and action-oriented, so the set is mostly consistent with minor variation.

    Tool Count3/5

    Two tools are borderline thin for a corpus server; typical well-scoped sets have 3–15 tools. While search and read cover a basic retrieval loop, additional tools for discovery or metadata could be expected.

    Completeness3/5

    The surface allows searching and reading documents, but there is no explicit way to list or browse available documents, nor to retrieve metadata such as dates or titles. This creates a notable gap for agents that need to discover what exists before reading.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues