Skip to main content
Glama
Pranavdmg20

pdf-extract-mcp

by Pranavdmg20

Related Servers

Alternatives to pdf-extract-mcp

No user-submitted related servers found.

    Related Servers

    • 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.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to convert PDFs and images into validated, structured JSON for invoices, receipts, contracts, and resumes, or into any caller-supplied JSON Schema, through five extraction tools. Each tool call pays per use in USDC over x402 from a wallet the caller supplies, with no signup or API key required.
      22 npm
      MIT
    • 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
    • A
      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
      MIT
    • 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.
      75 PyPI
      1
      MIT

    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.

    Maintenance

    ActivityStale
    ResponsivenessNo issues