Skip to main content
Glama
Pranavdmg20

pdf-extract-mcp

by Pranavdmg20
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to pdf-extract-mcp

No user-submitted related servers found.

    Related Servers

    • doc-extract

      AlanAAG
      F
      license
      Not graded
      quality
      B
      maintenance
      Enables reading entire PDF documents into validated structured JSON, including tables, key-values, and markdown, with read-only extraction tools and layout reconstruction.
      -

    • PDF RAG MCP Server

      MBaranekTech
      A
      license
      A
      quality
      D
      maintenance
      Enables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.
      6
      MIT

    • StructureAI MCP Server

      avatrix1
      F
      license
      A
      quality
      D
      maintenance
      Extracts structured JSON data from unstructured text using predefined schemas for receipts, invoices, resumes, and emails. It allows users to transform messy text into organized data through built-in or custom-defined fields.
      1
      -

    • pdf-mcp

      wesseltl
      A
      license
      Not graded
      quality
      A
      maintenance
      Extracts text and tables from PDFs for AI agents via MCP, enabling structured data retrieval from invoices, reports, and statements.
      28 PyPI
      1
      MIT

    • ETL-D MCP Server

      pablixnieto2
      A
      license
      C
      quality
      D
      maintenance
      Provides deterministic data parsing and enrichment for AI agents, including bank statements, trade history, EDI, PDFs to structured markdown, and atomic enrichment for amounts, dates, and addresses, with strict schema enforcement to prevent hallucinations.
      37
      24 npm
      2
      ISC

    • MCP PDF

      rsp2k
      A
      license
      Not graded
      quality
      F
      maintenance
      Enables AI-powered extraction and analysis of PDF documents with 40+ specialized tools for text, tables, images, layout analysis, security assessment, and document intelligence. Supports both text-based and scanned PDFs with OCR capabilities.
      134 PyPI
      10
      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

    A3.8/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool serves a clearly distinct purpose: listing supported schemas, extracting fields from a PDF, and validating extracted data against a schema. There is no overlap or ambiguity in tool responsibilities.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case: list_supported_document_types, extract_fields, validate_against_schema. The convention is uniform and predictable.

    Tool Count4/5

    With only 3 tools, the set is at the lower end of the well-scoped range but still appropriate for a focused PDF extraction and validation server. Each tool earns its place without redundancy.

    Completeness4/5

    The tool surface covers the core workflow: discovering available schemas, extracting fields, and validating results. Minor gaps exist (e.g., no tool to add custom schemas or handle batch processing), but they are not critical for the primary purpose.

    Resources