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"A server to add framework documentation and use a cursor agent to search it" matching MCP servers:

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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 querying Italian national statistics (ISTAT) data through natural language questions, with tools for accessing demographic, economic, and social indicators.
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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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    MIT
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    Exposes live earth-science data (e.g., earthquakes from USGS) as tools for MCP-compatible AI agents, enabling them to fetch and reason about real-time geophysical events.
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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 read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.
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    Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.
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    MIT
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    Unified MCP server for discovering open datasets across Hugging Face, Zenodo, and Kaggle, with ranked search results and one-click Colab starter code generation.
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    MIT
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    This MCP server enables users to search for scientific papers on arXiv and retrieve detailed metadata for specific papers. It provides tools to perform search queries and fetch in-depth information using paper IDs.
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    Apache 2.0
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    Enables searching Reddit posts, fetching subreddit content, and retrieving post comments without requiring an API key. It uses public JSON endpoints to provide seamless access to Reddit data for LLM-based applications.
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    MIT
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    Enables searching, downloading, and exporting academic papers from 20+ scholarly sources including arXiv, PubMed, and Semantic Scholar. Supports multi-source concurrent search, citation network tracing, and export to CSV, RIS, and BibTeX.
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    MIT
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    Provides search functionality for arXiv.org papers through the official arXiv API, allowing users to search papers by keywords, filter by subject categories and date ranges, and receive comprehensive metadata including PDF links.
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    MIT
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    Enables natural language search of Japan's National Diet Library bibliographic database via Claude Desktop, allowing users to find books and academic materials using intuitive Japanese queries.
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    Provides comprehensive access to Hong Kong Legislative Council data including voting results, bills, parliamentary questions, and Hansard records. It supports real-time multi-word search capabilities and various transport protocols like SSE and WebSocket for easy integration.
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