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"Optical Character Recognition (OCR) Technology" matching MCP servers:

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    Provides AI assistants with access to 102 curated UK Government technology standards, enabling context-aware recommendations for accessibility, APIs, security, cloud strategy, and more.
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    Enables users to search and retrieve Australian legislation and case law with full-text content extraction. Provides structured results with citation metadata and OCR support for archival PDFs.
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    Apache 2.0
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    MCP server for Korea's NTIS (National Science and Technology Information Service) operated by KISTI. Search national R\&D projects, public announcements, and research programs.
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    MIT
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    Enables intelligent search and retrieval of Japanese legal statutes through the e-Gov API. Supports smart lookup of laws and articles with abbreviation recognition, batch processing, and multi-tier caching for high-performance legal research.
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    MIT
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    Enables AI assistants to search, retrieve, and analyze South Korean legal documents including statutes, precedents, constitutional decisions, and administrative rulings via the Ministry of Government Legislation Open API. Provides 89 specialized tools with features like legal abbreviation auto-recognition, annex extraction, and complex research chain workflows.
    MIT
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    Enables high-performance access to USPTO Final Petition Decisions API with intelligent context reduction (80-99%), customizable fields, hybrid document extraction (free PyPDF2 + Mistral OCR fallback), and seamless cross-MCP integration for complete patent lifecycle analysis including prosecution history, PTAB challenges, and citation intelligence.
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    MIT
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    Enables access to 82 Korean data and AI tools through MCP, including business registry lookup, ID document verification, parcel tracking, OCR, file conversion, web/image intelligence, and LLM calls, all billed per call from a single APICK key.
    MIT
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    Auditoría del gasto público peruano mediante sistemas multi-agente, Claude Code Skills y un servidor MCP local. Procesa datos fiscales del MEF 2025 desde datosabiertos.gob.pe y digitaliza vía OCR un archivo histórico de 1964, exponiendo los resultados en un dashboard Streamlit de 4 pestañas.