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"PDF files or PDF-related tools and services" matching MCP servers:

  • A
    license
    A
    quality
    B
    maintenance
    A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.
    10
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    This MCP server enables AI agents to view PDFs as accessible HTML with bounding-box citations, and provides tools for layout-aware parsing, schema extraction, cross-document Q&A, and PDF rendering.
    27
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that provides powerful RAG (Retrieval-Augmented Generation) capabilities for PDF documents. This server uses ChromaDB for vector storage, sentence-transformers for embeddings, and semantic chunking for intelligent text segmentation.
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Enables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.
    12
    4
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Builds searchable SQLite databases from PDFs, preserving inline image locations for AI agents to discover and caption visual content. Supports full-text search over text, image placeholders, and saved captions.
    1
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.
    9
    Apache 2.0
  • A
    license
    -
    quality
    D
    maintenance
    Enables AI-driven PDF document processing including PDF to Markdown conversion, intelligent text and table extraction, image extraction, format conversion between PDF/Word/Markdown, batch processing, and fuzzy search - optimized for LLM context and RAG workflows.
    2
    MIT
  • F
    license
    -
    quality
    D
    maintenance
    Enables AI-powered querying of PDF documents using hybrid retrieval (BM25 + vector search) and retrieval-augmented generation, returning structured answers with source citations and confidence scores.
  • F
    license
    -
    quality
    C
    maintenance
    Provides read-only MCP tools for hybrid semantic and keyword search over locally indexed PDF documentation, with citations and context retrieval for LLM agents.