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    Enables querying Korean procurement corporate profiles and qualifications using business registration numbers through natural language, leveraging the public data API from data.go.kr.
    2
    32 npm
    MIT
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    Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.
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    MCP server for Polish company registries that enables looking up companies by NIP or KRS using public government APIs with no authentication required.
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    MIT
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    Enables querying Finnish open data by retrieving company details from PRH/YTJ using a business ID or name and searching public procurement notices from Hilma by keyword.
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    187 npm
    MIT
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    Enables AI agents to search and analyze Ukraine's national open-data portal (data.gov.ua) using natural language, with tools for finding datasets, inspecting metadata, and retrieving actual data.
    6
    MIT
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    Enables AI assistants to look up IRS nonprofit data, verify tax-deductible charity status, and search for organizations by name or location using the CharityAPI database.
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    An MCP server for U.S. public-records data, enabling AI agents to search business registrations, screen names against government watchlists, and pull federal awards.
    4
    27 npm
    MIT
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    Provides access to 5,000+ Key Performance Indicators across 264 operating areas for all Swedish municipalities and regions, enabling statistical analysis, comparisons, and trend tracking of Swedish public sector data.
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    50 npm
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    MIT
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    Provides tools to retrieve and validate Goods and Services Tax (GST) details using GST numbers, PAN cards, or company names. It enables users to check registration status, filing history, and business addresses directly through the GST Insights API.
    8
    MIT
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    Enables discovery and selection of ONS datasets using a frozen metadata bundle, providing bounded access to dataset descriptions, dimensions, and alternatives without making network calls or returning observation values.
    6
    MIT