Skip to main content
Glama
renvk

pdf-search-mcp

by renvk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to pdf-search-mcp

No user-submitted related servers found.

    Related Servers

    • PDF Reader MCP Server

      averagejoeslab
      F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that provides comprehensive PDF processing capabilities including text extraction, image extraction, table detection, annotation extraction, metadata retrieval, page rendering, and document structure analysis.
      -

    • PDF MCP Server

      c70311tw
      A
      license
      Not graded
      quality
      D
      maintenance
      A read-only MCP server for PDF analysis that enables text extraction, image extraction, metadata retrieval, and text search via natural language.
      MIT

    • pdf-triage-mcp

      vishalmeena2211
      A
      license
      A
      quality
      B
      maintenance
      An MCP server for local PDF inspection that classifies, searches, extracts text and tables without uploading documents or relying on OCR, surfacing reliability warnings for garbled or scanned content.
      4
      37 npm
      MIT

    • Utility MCP Server

      AI-Chinmay
      F
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that provides AI-powered document processing and search capabilities, including PDF summarization, text extraction, metadata retrieval, and web search via Google Custom Search.
      -

    • mcp-docs

      pgupta1795
      A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for documentation search that automatically indexes web documentation sites and provides semantic, full-text, or hybrid search capabilities.
      4 npm
      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

    A4.6/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: search finds content, read_page extracts text, read_page_image renders a page/crop as an image, and stats reports index metadata. There is no overlap or potential for misselection between them.

    Naming Consistency4/5

    Tool names follow a mostly consistent verb_noun pattern (read_page, read_page_image) with search as a simple verb and stats as a noun. This is a minor deviation but still predictable and readable.

    Tool Count5/5

    Four tools is well-scoped for a PDF search-and-read server: search, two complementary reading methods, and one stats utility. Each tool earns its place without bloat or thinness.

    Completeness4/5

    The core workflow is complete: search, read page text, fall back to page images, and inspect index health. A minor gap is the lack of a document listing or metadata endpoint, but this does not hinder the main search-and-read purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources