Skip to main content
Glama
Sign In
litedocs-mcp

litedocs-mcp

by gowthamraj07
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to litedocs-mcp

No user-submitted related servers found.

    Related Servers

    • folder-index

      git-raka
      A
      license
      B
      quality
      C
      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

    • ContextPull

      mi2arun
      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

    • officegrep

      Asgoresmilelong
      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

    • anydocs

      kiyeonjeon21
      A
      license
      A
      quality
      C
      maintenance
      Provides fast, token-efficient search over coding agent documentation (e.g., Claude Code, Cursor) using local SQLite FTS5 indexing, with tools for searching snippets, reading pages, and grepping markdown.
      5
      MIT

    • karpathy-mcp

      simon123h
      A
      license
      Not graded
      quality
      B
      maintenance
      Gives AI agents fast, read-only access to a local knowledge base of Markdown notes and other text documents via a SQLite full-text index. Enables ranked section-level search, reading whole notes or single sections, heading outlines, note listing, and link/backlink navigation without slow disk walks.
      Apache 2.0

    • search-docs

      otolab
      A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.
      10
      26 npm
      1
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct action on the docs index: search retrieves matching sections, list enumerates documents, reindex refreshes the index. Their boundaries are crisp and the descriptions reinforce when to prefer each over grep or file reads.

    Naming Consistency5/5

    All three names follow the same verb_noun snake_case pattern (search_docs, list_docs, reindex_docs) with a shared '_docs' noun suffix. Fully predictable and readable.

    Tool Count4/5

    Three tools is small but well-matched to a focused read-only documentation index; each tool clearly earns its place. It is on the lean side, with no room to trim and one arguably missing retrieval operation.

    Completeness3/5

    The surface covers search, listing, and index refresh, but there is no get_document tool to fetch a full document by path from a list_docs result. Agents can only see snippets or paths, creating a dead end when full content is needed.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources