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    MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.
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    Provides free Chinese A-share stock data including real-time quotes, historical K-lines, market scanning, and multi-factor stock screening via BaoStock and Sina Finance APIs.
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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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    Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.
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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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    France Data MCP lets AI agents query, cross-reference and automatically enrich multiple French public registries through a unified MCP interface. France Data MCP provides a French territorial intelligence layer designed for multi-source reasoning and agentic orchestration.
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    MIT
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    Enables LLMs to search, fetch, and manage arXiv research papers across various categories. It allows users to browse recent publications, query specific metadata, and retrieve full abstracts through a local database.
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    MIT
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    Allows AI assistants to query public procurement opportunities, purchase orders, and government entities from Chile's Mercado Público (ChileCompra) API in real time.
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    Enables LLMs to query structured statistical data from the Swiss Federal Archives' Linked Data platform (LINDAS) by translating natural language questions into SPARQL queries against RDF data cubes.
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    Enables LLM agents to query US macroeconomic time series from FRED, including GDP, CPI, unemployment, and interest rates, for contextual research.
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    MIT
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    Real-time web intelligence with freshness timestamps. Every extraction returns a dated envelope so AI agents know exactly how old the data is. Covers GitHub, HN, Scholar, arXiv, YC, jobs, finance, and package trends.
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    MIT
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    Enables AI assistants to search, explore, and query San Francisco's open data portal through a standardized interface for public datasets. It supports SQL-like querying via the Socrata platform and includes features like fuzzy column matching and schema caching.
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