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    A template MCP server created with create-xmcp-app that demonstrates structured organization of tools, prompts, and resources with automatic discovery from their respective directories.
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    Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.
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    18
    MIT
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
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    Apache 2.0
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    A template/starter project for building MCP servers with structured directories for tools, prompts, and resources that are automatically discovered and registered.
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    A complete fullstack application that demonstrates Model Context Protocol integration for AI assistants to securely connect to external data sources and tools, providing task management functionality with a Convex backend and Remix frontend.
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    A Model Context Protocol (MCP) server template designed for building structured tools, prompts, and resources with built-in support for HTTP and STDIO transports. It provides a standardized framework for developers to create and deploy AI-driven services using TypeScript and Zod schema validation.
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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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    20
    MIT
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    Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.
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    MIT
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    A comprehensive demonstration server that provides tools for calculations, weather, and note management alongside an interactive web interface. It showcases how AI assistants can seamlessly interact with external data sources and functions using the Model Context Protocol.
    Last updated