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75,688 servers. Updated
20 Best PDF MCP Servers — compared and ranked, August 2026Ranked from 1,213 matching servers on stars, growth, downloads and maintenance. Updated .

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  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables interaction with Azure Data Factory instances, allowing users to list, read, create, update, and trigger pipelines, datasets, linked services, and runs through natural language.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI assistants to deploy generated files (HTML, PDF, images, etc.) directly to cloud71 hosting, returning a public URL, and manage cloud71 sites via natural language.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server that exposes Azure Data Factory operations as tools any LLM can call — trigger pipelines, monitor runs, inspect datasets, and get factory health summaries through natural language.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Analyzes security compliance documents (ISMS-P, NIST, CIS Benchmark) in PDF/TXT format, extracts requirements, recommends AWS services, and evaluates implementation difficulty and timelines through structured JSON output.
  • F
    license
    Not graded
    quality
    D
    maintenance
    A personal workspace management server that provides automated project documentation reference, AWS/Fly.io infrastructure access, markdown-to-PDF conversion, and code analysis capabilities for Cursor IDE.
  • A
    license
    A
    quality
    C
    maintenance
    Exposes Adobe's User Management API (UMAPI) as MCP tools for listing users, managing product profiles, and assigning or removing Acrobat/PDF licenses in Enterprise organizations.
    5
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server that enables automated analysis and conversion of SSIS packages into Azure Data Factory JSON artifacts directly through GitHub Copilot. It streamlines ETL modernization by detecting complex patterns, translating script tasks, and generating production-ready pipelines following Microsoft best practices.
    5
    MIT