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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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    A local CrossRef database MCP server enabling full-text search across 167M+ scholarly works, citation analysis, and impact factor retrieval without rate limits or internet dependency.
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    AGPL 3.0
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    Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
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    MIT
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    Enables searching and viewing 1.89 million entries of the Seungjeongwon Ilgi and 380,000 articles of the Annals of the Joseon Dynasty from a local PostgreSQL database via Claude Desktop.
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    MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.
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    将akshare、yfinance、wbgapi、arxiv等免费公开接口封装为4个标准MCP工具,使支持MCP的智能体无需第三方账号和云额度即可直接查询金融市场、宏观经济和学术论文数据。
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    MCP server for the Internet Archive's Wayback Machine. Search archived snapshots, extract page text from a specific date, track how a site has changed over time, check if broken links are recoverable, and perform research across Internet Archive collections.
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    MIT
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    Enables users to query Chinese A-share stock data, including stock basics, historical prices, financial reports, and macroeconomic indicators.
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    MIT
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    Exposes Vedic astrology tools for birth chart, dasha, transit calculations, and question context analysis.
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    MIT
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    Provides comprehensive stock intelligence workflows by integrating data from multiple providers for market analysis, technical indicators, and fundamental data. It enables users to perform technical, fundamental, and risk analysis alongside options and news tracking through a unified tool registry.
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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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    MIT
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    Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.
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    Apache 2.0