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"Understanding Persistent Memory and Context Management" matching MCP servers:

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    Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.
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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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    MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.
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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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    An MCP server that gives Claude deep access to US public data -- demographics, economics, crime, employment, weather, housing, transit, schools, budgets, and more across 30+ cities for government intelligence workflows.
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    Queries South Korean building register data (e.g., floor area, parking, seismic design) via a single unified tool, converting API responses to Korean field names for easy AI understanding.
    Last updated
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    MIT
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    Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.
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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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    Enables natural language queries of U.S. Census Bureau data, translating plain English questions into proper API calls and returning demographic, economic, and housing statistics with proper statistical interpretation and context.
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    MIT
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    A Model Context Protocol server that exposes the Dominican Republic's open government data (datos.gob.do) as tools consumable by any AI assistant.
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    MIT
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    Model Context Protocol server that provides access to economic and financial time series data from Peru's Central Reserve Bank, enabling AI agents to search, explore, and analyze Peru's economic indicators through a standardized interface.
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    A Model Context Protocol server for Toronto Transit Commission (TTC) that exposes subway, streetcar, and bus schedules, real-time arrivals, vehicle positions, and service alerts, plus multi-modal trip planning.
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    MIT
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    Central Bank of Russia (CBR) data for AI agents — daily and historical currency rates, key rate, inflation, and macro statistics. Five typed MCP tools, in-memory TTL cache, MIT-licensed, no API key required.
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    MIT