Skip to main content
Glama
ekelly95

document-index-mcp

by ekelly95

Related Servers

Alternatives to document-index-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Turns a local folder of documents into a queryable index that an LLM agent can pull from on demand, keeping only a compact table of contents in context. Exposes five tools (index, search, read, grep, neighbours) over a single offline SQLite FTS5 store so the model retrieves exact, citable sections instead of being handed whole files.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables local AI agents to perform hybrid search (BM25 + vector) over privately indexed local files, including notes, PDFs, DOCX, source code, and OCR'd images. All indexing and retrieval stay on the machine with read-only, whitelist-scoped access.
      3
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to search any local folder through a private SQLite FTS5 index that extracts text from PDFs, Office documents, plain text, code and zip listings, returning ranked matches instead of slow ls/grep scans. It also supports metadata and glob listing, paged retrieval of already-extracted text, duplicate detection, and incremental background re-indexing with secrets and caches excluded by default.
      8
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.
      4
      -
    • A
      license
      A
      quality
      A
      maintenance
      Privacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.
      9
      4,578 npm
      426
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to run full-text search inside Word, PowerPoint, Excel, PDF, and plain-text files by extracting their contents into a single local SQLite FTS5 index. Exposes tools to search documents with ranked highlighted snippets and human-readable locators, list indexed files, and incrementally build or refresh the index.
      MIT

    TDQS

    A4.6/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a distinct role: search_document finds snippets, get_chunk_context retrieves full text, get_document_outline provides structure, ingest_document adds content, and delete_document removes it. There is no overlap in purpose; the descriptions clearly differentiate when to use each.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (ingest_document, delete_document, search_document, get_chunk_context, get_document_outline). The prefix 'get_' is used consistently for retrieval operations, and the other verbs are clear and action-oriented.

    Tool Count5/5

    Five tools is well-scoped for a document indexing and retrieval server. Each tool is necessary and there are no redundant or superfluous entries. This is within the ideal range for a focused MCP server.

    Completeness5/5

    The tool surface covers the full document lifecycle: ingest (create), read via search/context/outline, update via re-ingestion (explicitly stated), and delete. It also includes library listing and ingestion status polling, so there are no obvious dead ends or missing capabilities for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues