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"Guide to Deploying a Large Language Model Framework" matching MCP servers:

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    An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.
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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.
    MIT
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    Provides information about animals at the Taipei Zoo, including their habits, habitats, and distribution across various park areas. It enables users to search for specific animals and browse regional guides using data from the Taipei City Open Data platform.
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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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    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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    A Model Context Protocol server that connects AI assistants to UNESCO Institute for Statistics data, enabling natural language search, retrieval, and comparison of indicators across countries.
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    MIT
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    The server integrates with the free IMF data API and provides various features to facilitate data retrieval and analysis. The server is built using the FastMCP framework and offers the following functionalities:
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    Apache 2.0
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    Read-only MCP tools for authenticated Open Science Framework projects, components, files, and contributors.
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    Apache 2.0
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    Provides access to Wikidata for Large Language Models through the Model Context Protocol, offering tools for entity search, detailed retrieval, SPARQL queries, relation exploration, and property-based searches.
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    MIT
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    Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.
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    Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.
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    MIT
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    Provides real-time weather queries for 12 major Chinese cities (plus global English city support) using the wttr.in API. Built on the HelloAgents framework, it exposes tools to get current weather, list supported cities, and get server info.
    MIT
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    Provides a ready-to-run MCP server and Python SDK for securely interacting with Openapi.com APIs, enabling businesses to retrieve official documents and data through natural language.
    19
    MIT
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    An MCP server for interacting with the Open Science Framework (OSF), enabling search for projects, registrations, preprints, and file management.
    1
    MIT