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"Using Jira MCP API in Python" matching MCP servers:

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    Provides an MCP interface for accessing YOKATLAS (Turkish Higher Education Council Atlas) data, enabling LLM applications like Claude to search and retrieve details about undergraduate and associate degree programs in Turkey.
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    MIT
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    Gateway connector between LLM agents and world data, providing access to financial market prices, macroeconomic indicators, and news through a bundled endpoint catalog.
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    MIT
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    An MCP server that exposes the IPUMS API as LLM tools for browsing metadata, creating and downloading extracts, and generating reproducible R/Python code.
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    MIT
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    Enables searching and retrieving economic data from the Federal Reserve Economic Data (FRED) API, including time series, categories, releases, and popular indicators.
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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 Model Context Protocol server that connects AI assistants to Brazilian public data services, providing access to postal codes, company registrations, bank information, area codes, IBGE data, currency exchange rates, and domain registration status.
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    MIT
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    Provides tools to retrieve current weather conditions and daily forecasts for cities worldwide using the Open-Meteo API. This Python-based server enables MCP-compatible clients to access real-time meteorological data through a standardized interface.
    2
    MIT
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    Query a variety of data from Brasil resources seamlessly. Access information on postal codes, area codes, banks, holidays, taxes, and more through a unified interface. Enhance your AI agents and applications with rich and updated data from BrasilAPI effortlessly.
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    Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.
    13
    MIT
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    Provides access to the Nutrition By Api Ninjas API to extract detailed nutritional information from natural language food queries. It enables users to retrieve data such as calories, vitamins, and macros from text descriptions of meals.
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    MIT
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    MCP server providing access to Spain's National Statistics Institute (INE) Tempus3 JSON API, enabling querying of Spanish statistical data through natural language.
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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.
    7
    MIT