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"Extracting Orders from PDF Files" matching MCP servers:

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    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.
    Last updated
    9
    Apache 2.0
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    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.
    Last updated
    12
    4
    MIT
  • F
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    Enables semantic search across personal PDF paper collections with page-level citations, allowing users to query their library from any MCP-capable client.
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    9
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    Provides cross-session memory for Claude Code by extracting structured handoffs at session end and retrieving relevant past context at session start.
    Last updated
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    7
    MIT
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    Enables searching and retrieving documents from a local folder to ground LLM answers in your files.
    Last updated
    2
    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.
    Last updated
    10
    MIT
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    A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.
    Last updated
    7
    MIT
  • A
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    A server implementation for interacting with Wikidata API using the Model Context Protocol, providing tools for searching identifiers, extracting metadata, and executing SPARQL queries.
    Last updated
    5
    48
    MIT
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    A unified knowledge retrieval tool for MCP-compatible LLMs, enabling structured external knowledge access from local files and future integrations.
    Last updated
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    4
    MIT
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    Enables passage-level semantic search over a Zotero library by extracting, chunking, and embedding PDF text using Gemini and ChromaDB. It provides MCP tools to perform topical searches and retrieve specific document passages with surrounding context.
    Last updated
    4
    7
  • F
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    An MCP server that indexes PDF documentation and text into Elasticsearch for semantic search and retrieval. It enables users to query knowledge bases, ingest new files, and dynamically update content through MCP-compatible clients like Claude Desktop and Cursor.
    Last updated
    4
    1
  • A
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    Provides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.
    Last updated
    5
    21
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    TypeScript
    MIT
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    A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.
    Last updated
    5
    101
    2
    Apache 2.0
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    A Model Context Protocol server that provides access to Outscraper's data extraction services, implementing 8 tools for extracting data from Google services and domains including Maps, Reviews, Search, and contact information.
    Last updated
    2
    3
    MIT