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maintenanceA Model Context Protocol server that enables AI agents to read, search, and extract content from PDF files.
13
116
MIT
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"PDF" matching MCP servers:
- AlicenseAqualityAmaintenanceRust-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.124MIT
- AlicenseAqualityBmaintenanceA 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.10MIT
- FlicenseAqualityCmaintenanceA local RAG MCP server for PDF development experience, enabling document ingestion, semantic search, and Q\&A with source citations using TF-IDF and cosine similarity.3
- AlicenseNot gradedqualityDmaintenanceA 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.9Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to query PDF documents by ingesting them into a vector database and generating answers grounded in the actual documents.111MIT
- AlicenseNot gradedqualityDmaintenanceEnables 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.2MIT
- FlicenseNot gradedqualityBmaintenanceEnables agents to extract clean structured JSON tables from any PDF with per-cell citations to the source page.
- FlicenseNot gradedqualityDmaintenanceEnables 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.
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to download, index, and semantically search PDF research papers using 8 MCP tools.2GPL 3.0
okraPDF PDF MCP serverofficial
AlicenseAqualityCmaintenanceThis 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.27MIT- AlicenseNot gradedqualityDmaintenanceA 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
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables intelligent document search and retrieval from PDF collections, providing semantic search capabilities powered by OpenAI embeddings and ChromaDB vector storage.13MIT
- AlicenseNot gradedqualityDmaintenanceEnables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.MIT
- AlicenseNot gradedqualityDmaintenanceEnables intelligent search and question-answering over PDF documents using semantic similarity and keyword search. Supports OCR for scanned PDFs, persistent vector storage with ChromaDB, and maintains source tracking with page numbers.5MIT
- FlicenseNot gradedqualityDmaintenanceEnables Claude to extract text and metadata from PDF files via URL or base64 encoding. Supports optional bearer token authentication and can be deployed as a custom connector on claude.ai.
- FlicenseNot gradedqualityCmaintenanceMCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.
- FlicenseNot gradedqualityFmaintenanceA document knowledge base system that enables users to upload PDFs and query them semantically through a web interface or via the Model Context Protocol, allowing integration with AI tools like Cursor.42
- FlicenseNot gradedqualityDmaintenanceEnables intelligent ingestion and querying of PDF, Markdown, and text files using hybrid search that combines keyword matching and semantic embeddings with citations.2
- AlicenseNot gradedqualityCmaintenanceBuilds 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.1MIT