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    MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.
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    4
    MIT
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    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.
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    10
    MIT
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    An MCP (Model Context Protocol) server that provides structured access to ISO 32000 (PDF) specification documents. Enables LLMs to navigate, search, and analyze PDF specifications through well-defined tools.
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    MIT
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    Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.
    Last updated
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    Enables extraction of content from various web sources including webpages, YouTube transcripts, tweet threads, PDF files, and public Google Docs. It provides specialized tools to convert internet resources into markdown or text for model consumption.
    Last updated
    5
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    MIT
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    MCP bridge for PDF Content Search — full-text PDF search with Apple Vision OCR across thousands of documents in under a second from Claude, Cursor, or any MCP client. Advanced filters (date, category, sender, amount), wildcards, boolean operators. Bridge open-source (MIT), PDF Content Search app is commercial with free iOS+Android companion scanner apps.
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    84
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    MIT
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    Enables searching and retrieving academic papers from arXiv by various criteria including title, author, and category, with support for extracting full text content from PDFs.
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    4
    MIT
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    Enables searching, extracting, and analyzing over 2.4 million arXiv papers, with PDF extraction via GROBID and citation network building through Semantic Scholar integration.
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    MIT
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    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.
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    MIT
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    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.
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    1
    MIT
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    Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.
    Last updated
    27
    ISC