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    MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.
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    MIT
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    Local MCP server for the Jedox OLAP platform enabling LLM clients to interact with Jedox databases, dimensions, cubes, cells, and rules via natural language.
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    An MCP server that exposes Akahu (New Zealand open-banking) data to LLM agents, allowing them to list bank accounts, inspect investment holdings, and pull transactions for analysis.
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    An MCP server that allows users to interact with YNAB data, enabling access to account balances, transactions, and the creation of new transactions through the Model Context Protocol.
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    MIT
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    Provides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.
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    MIT
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    An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.
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    MIT
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    Enables AI assistants to read, analyze, edit, and create Alteryx workflows, including summarizing workflows, finding tools, editing configurations, updating SQL, managing connections, and building new workflows programmatically.
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    MIT
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    MCP server that turns Excel files into queryable databases, enabling AI agents to filter, aggregate, group, sort data and export results as new Excel files.
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    MIT
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    A multi-protocol API server that exposes a single ORM schema over 11 transports including MCP, enabling AI agents to interact with data from 13 different databases via a unified interface.
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    231
    AGPL 3.0
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    An MCP server that provides real-time stock market data and price comparisons from Yahoo Finance, Alpha Vantage, and Finnhub. It enables AI assistants to fetch individual quotes, compare data across multiple sources, and retrieve market metrics for various tickers.
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    Enables complete StreamSets Control Hub integration through conversational AI, allowing users to manage data pipelines, monitor jobs, and interactively build new pipelines with 44 tools across 9 StreamSets services. Features persistent pipeline builder sessions that let users create complete ETL workflows through natural language conversations.
    Last updated