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"Adding functionality to large language models" matching MCP servers:

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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 real-time stock market data and company search functionality for the Colombo Stock Exchange (CSE). It enables AI assistants to retrieve current prices, change percentages, and ticker information for Sri Lankan listed companies.
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    ISC
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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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    Enables search and retrieval of calibrated SWAT+ watershed models, national groundwater lithology and PFAS inventories, plus API-key-secured ordering and downloading of custom watershed models.
    MIT
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    Enables federated search across 10 open-knowledge providers via Open Idea. Users can search for papers, code, datasets, models, hardware, and videos using natural language queries.
    MIT
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    A comprehensive MCP server implemented in TypeScript that provides access to the German BIM Portal REST API, enabling querying of organizations, building properties, LOINs, domain models, and AIA resources through natural language.
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    MIT
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    Exposes Denmark's Statistical Bureau API as programmable resources, making it easy to integrate with language models and modern AI applications to enable natural language queries for statistical data.
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    MIT
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    Enables searching, validating, and referencing Finnish standardized terminology, data models, and code lists to ensure consistency in design documentation for Finnish government and building industry projects.
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    MIT
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    Bridges AI models with 24 years of Global Forest Watch data across 165+ countries, enabling natural language queries for deforestation and carbon emission insights.
    Apache 2.0
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    Provides AI models with seamless access to OParl parliamentary data APIs through the Model Context Protocol. Enables natural language queries for parliamentary meetings, documents, organizations, representatives, and other government data across multiple OParl implementations.
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    Apache 2.0
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    MCP server for structured public vehicle data from StartMyCar, providing tools to list makes, models, problems, reviews, fuse box data, manuals, guides, and compare models.
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    MIT
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    Enables interaction with SpiderFoot's OSINT scanning capabilities through Claude and other MCP-compatible tools. Supports comprehensive scan management, real-time monitoring, result retrieval, and export functionality for reconnaissance and investigation workflows.
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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.
    MIT
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    This server enables large language models to access and interact with real-time transport alerts from Transport for NSW's network, supporting filtering by transport mode and returning formatted alert information about disruptions and planned works.
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    MIT