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"Information about F1 Racing" matching MCP servers:

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    MCP server for IFS Cloud PL/SQL unit testing, enabling check of testability, generation of unit tests, and orchestration of deploy/run steps via ifs-f1-codegen-dev.
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    Retrieves and displays the latest horse racing news stories from Thoroughbred Daily News RSS feed, including titles, content, and links.
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    Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.
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    Apache 2.0
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    Connects Reaper projects to an MCP client like Claude Desktop, allowing users to ask questions and retrieve parsed information about the projects using natural language.
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    MIT
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    An MCP server that enables interaction with the Daft.ie API for searching rental properties and retrieving detailed information about specific rental listings.
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    ISC
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    An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.
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    MIT
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    Provides comprehensive Formula 1 data and analytics for Claude Desktop, including race results, telemetry, standings, and strategy insights through 36+ tools.
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    MIT
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    Enables interaction with Formula 1 data through LLM interfaces like Claude. Provides access to F1 information including circuits, constructors, drivers, grand prix, manufacturers, races, and seasons.
    Apache 2.0
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    Enables searching and retrieving detailed information about Thai juristic persons, foreign entities, financial statements, directors, shareholders, and statistics from the Department of Business Development data warehouse.
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    Enables Claude Desktop to query ServiceTitan data about technician jobs and business performance via natural language, while protecting customer personal information.
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    Enables AI-powered natural language queries about BIT Information Portal (BIP) data by integrating with BIP APIs through session management. Uses Google Gemini to intelligently route questions to appropriate endpoints and generate contextual answers about students, departments, courses, faculty, and achievements.