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licenseA
qualityA
maintenanceA Model Context Protocol server that enables AI agents to read, search, and extract content from PDF files.
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92
MIT
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"Tools and methods for extracting data from PDF files" matching MCP servers:
- 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.Last updated10MIT
- Alicense-qualityDmaintenanceEnables AI assistants to query PDF documents by ingesting them into a vector database and generating answers grounded in the actual documents.Last updated211MIT
- Flicense-qualityBmaintenanceEnables agents to extract clean structured JSON tables from any PDF with per-cell citations to the source page.Last updated
- 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.Last updated3
- 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.Last updated27MIT
- Alicense-qualityDmaintenanceA 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.Last updatedMIT
- Alicense-qualityCmaintenanceMCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.Last updatedMIT
- Alicense-qualityDmaintenanceEnables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.Last updatedMIT
- Alicense-qualityCmaintenanceEnables AI agents to download, index, and semantically search PDF research papers using 8 MCP tools.Last updated2GPL 3.0
- Flicense-qualityFmaintenanceA 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.Last updated42
- Flicense-qualityDmaintenanceEnables intelligent ingestion and querying of PDF, Markdown, and text files using hybrid search that combines keyword matching and semantic embeddings with citations.Last updated2
- 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.Last updated124MIT
- FlicenseAqualityDmaintenanceA basic MCP server setup guide demonstrating how to configure and run Python-based MCP servers with integration examples for Bright Data web scraping and Apify Actors for product data collection.Last updated4
- AlicenseAqualityDmaintenanceGuides problem-solving by breaking down complex problems into steps and recommending appropriate MCP tools for each stage, with confidence scores and rationales for tool suggestions.Last updated182929MIT
- AlicenseAqualityCmaintenanceA collection of tools that enhance MCP-based workflows with caching, retry logic, batch operations, and rate limiting capabilities.Last updated739MIT
- AlicenseBqualityDmaintenanceGet access to real-time SEO data, including: keyword insights, backlink data, traffic estimates and more. Allow AI tools and Large Language Models (LLMs) to tap into the real-time SEO Review Tools API with natural language commands.Last updated875MIT
- AlicenseBqualityBmaintenanceAn MCP server providing 22 pay-per-call utility tools for AI agents (scrape, validate, embed, store, moderate, notify, convert, prevent loops) without accounts or API keys, using USDC payments via the x402 protocol.Last updated17501MIT
- AlicenseBqualityAmaintenanceMCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.Last updated246MIT
- Alicense-qualityBmaintenanceA semantic layer query engine with MCP support, enabling AI assistants to query structured data through natural language and declarative interfaces.Last updated2Apache 2.0
