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Enables AI assistants to interact with Figma files through the ModelContextProtocol.
Enables LLMs to interact with Discord channels for sending and reading messages.
Enables LLM agents to interact with Git repositories through a Model Context Protocol (MCP) server.
Integrates Claude with Notion to manage a personal todo list using natural language commands.
Enables Discord bot integration with Model Context Protocol (MCP) compatible applications like Claude Desktop.
Exposes VS Code's language features to AI coding assistants via a Model Context Protocol (MCP) server.
Provides a cross-platform desktop chat application designed to interact with various LLMs through the Model Context Protocol (MCP).
Manages personal knowledge, daily notes, and reusable prompts through GitHub Gists, accessible via MCP-enabled AI products.
Enables AI assistants to interact with OmniFocus tasks and projects using natural language.
Connects Dify to external MCP servers, enabling LLMs to use their tools and resources within Dify workflows.
Enables AI agents to perform function calls and message processing directly within Feishu (Lark) without requiring a dedicated bot.
Integrates Plane APIs to provide projects, work items, and automations capabilities for developers and AI interfaces.
Enables interaction with the Backlog API to manage projects, issues, wikis, and more through AI agents.
Enables Large Language Models to interact with and automate tasks within a Nextcloud instance.
Connects large language models to Todoist, enabling them to manage tasks, projects, and more.
Connects Claude to Todoist for managing tasks and projects using natural language.
Integrates Google Gemini AI into Claude Code, enabling powerful AI collaboration and enhanced functionality.
Routes questions from AI assistants to human users via Discord to gather necessary input and judgment.
Facilitates human-AI collaboration in diagramming by providing an AI-powered DrawIO editor with intelligent assistance and robust version control.
Decompose complex software projects into parallel executable tasks using an AI-powered cascading development framework.
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