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Manages a to-do list using a command-line interface and a server-side API, leveraging JSON-RPC and LLMs for task management.
Facilitates seamless integration with the Kalendis scheduling API by generating type-safe TypeScript clients and API route handlers.
Manages and summarizes notes through a custom URI scheme and provides tools for note creation within the Model Context Protocol ecosystem.
Facilitates dynamic and reflective problem-solving through a structured, step-by-step thinking process for AI models.
Integrates Claude Desktop with Hacker News to enhance information flow and streamline interactions.
Empowers AI models to perform Git operations and manage GitHub pull requests.
Facilitates context-efficient file editing for AI agents through pattern-based copy and paste operations.
Create, analyze, and manage PowerPoint presentations with AI assistance, leveraging a pure Node.js backend.
Integrates Tencent Cloud Object Storage (COS) functionalities directly into IDEs like Claude Desktop, Cursor, and Windsurf through the Model Context Protocol (MCP).
Provides a Model Context Protocol server that exposes tools for querying a CV and sending emails.
Exposes Joplin's local REST API as Model Context Protocol tools for AI integration.
Unifies the latest documentation for all Python dependency managers, making it instantly searchable from your agentic IDE.
Exposes Postman API requests as tools through a Model Context Protocol (MCP) server, enabling integration with AI agents and MCP clients.
Offers a Model Context Protocol server implementation with fundamental utility tools.
Provides a Model Context Protocol server for seamless integration with the Cliniko practice management system.
Enables Large Language Models (LLMs) to save and retrieve sticky notes directly within a web browser.
Provides an interactive AI assistant interface featuring a terminal-based CLI and an always-on-top window for real-time output monitoring.
Delivers a self-evolving AI intelligent service hub specifically designed for university campuses, integrating RAGFlow, LLM, and MCP tool calling.
Enables AI models to book cleaning services specifically for San Francisco addresses.
Integrates with the Harvest API v2 to provide comprehensive time tracking and project management functionalities via a Model Context Protocol server.
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