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    Enables AI clients to access Chinese and global trademark data, including search, announcements, classification, review documents, transfer records, and applicant risk clues through the Quandashi platform.
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    MIT
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    Queries South Korean building register data (e.g., floor area, parking, seismic design) via a single unified tool, converting API responses to Korean field names for easy AI understanding.
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    MIT
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    Unlocks comprehensive enterprise data insights, enabling queries on business entities, shareholders, investments, risks, tech capabilities, honors, and more with natural language and visualization.
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    The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.
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    Inno Setup
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    MCP server that enables AI chatbots to search, explore, and obtain download links for datasets from the Republic of Azerbaijan's Open Data Portal (opendata.az).
    Last updated
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    MIT
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    Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.
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    4
    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.
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    MIT
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    Provides a clean interface for AI agents to search arXiv papers, fetch metadata, read full text, and download PDFs/source, with rate-limiting, on-disk caching, and session pinning to avoid duplicate fetches.
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    11
    MIT
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    Enrich any UK business with Companies House records, Google Places ratings, website/SSL status, and social media links in one MCP tool call. Four data sources, single JSON response.
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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
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    MIT
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    Provides access to the Internet Archive Wayback Machine to list snapshots, fetch archived web pages, and search archive.org items. Enables retrieval of historical website content and metadata through natural language queries.
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    MIT
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    A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.
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    Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.
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    7