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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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    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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    Aggregates search results from DuckDuckGo, Wikidata, and ArXiv into a single markdown response via JSON-RPC endpoint.
    Creative Commons Zero v1.0 Universal
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    Turn GPS coordinates into place name, category, and live opening hours via OpenStreetMap. Works in Claude, Hermes Agent, OpenClaw, and any MCP client.
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    MIT
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    Privacy-first OSINT scanning MCP server that aggregates ~25 sources into a risk report, running locally with no data leaving your machine.
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    AGPL 3.0
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    MCP server pulling academic publications (arXiv, PubMed, HF Daily Papers), trending code (GitHub, HF Hub), and medical-device regulatory data (FDA 510(k), recalls) into newspaper-style briefings. Per-category round-robin, weighted configuration, sandbox-safe Python launcher.
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    MIT
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    MCP server that unifies official Turkish open data sources into a single interface, letting AI agents query and compare normalized indicators like population, inflation, and GDP through natural language.
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    MIT
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    Wraps Taiwan Stock Exchange OpenAPI into MCP tools for searching datasets, fetching stock data, and obtaining ETF snapshots, enabling AI models to access TWSE market information.
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    MIT
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    Enables natural language queries of U.S. Census Bureau data, translating plain English questions into proper API calls and returning demographic, economic, and housing statistics with proper statistical interpretation and context.
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    MIT
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    Provides access to Danish energy data from Energinet, including real-time electricity spot prices, CO2 emissions, and production mix. It enables users to monitor grid status and identify the most cost-effective hours for energy-intensive tasks.
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    MIT
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    Aggregates 17 free, keyless research sources into a single MCP server, enabling unified search for papers, code, models, trends, standards, and electronic components with deduplicated results.
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    MIT
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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 AI clients to search for academic papers, fetch metadata by DOI, retrieve open access PDF links, and extract full text from research papers using the Unpaywall API. Provides seamless access to scholarly literature for research and analysis tasks.
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    MIT
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    A MCP server for data visualization. It exposes tools to render charts (line, bar, pie, scatter, heatmap, etc.) from data and returns plots as either image/text/mermaid diagram.
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    MIT