collaboration tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1405개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI models to interact with messages from multiple messaging platforms through a standardized interface.
Enables Claude AI to interact with the esa API for document management tasks.
Enables interaction with the DocBase API to retrieve posts.
Orchestrates and combines prompts with MCP servers to create compound Model Context Protocol (MCP) tools.
Enables AI large language models to interact with Feishu (Lark) APIs, primarily supporting multidimensional table operations through tool calls.
Transforms Modular Communication Protocol (MCP) tools into collaborative agents utilizing the LangGraph framework.
Proxies Feishu bots through an MCP server, enabling LLM-powered interaction with Feishu via tools like Cursor or Claude.
Manage Zoom meetings programmatically through a Model Context Protocol (MCP) interface.
Automates interactions with Slack channels using Spring AI.
Extends Trello's capabilities within AI environments by providing comprehensive API coverage for managing boards, lists, cards, and labels.
Provides access to Jira issues within the Cursor AI environment.
Coordinates multiple AI agents working simultaneously on the same codebase within Cursor IDE to prevent conflicts and manage dependencies.
Provides AI assistants with complete ClickUp API access through a comprehensive Model Context Protocol server.
Enables intelligent AI agents to interact with WhatsApp for sending messages and searching chats.
Manages project backlogs using Markdown files in Git for frictionless collaboration between AI agents and developers.
Enables AI clients like Claude Desktop to interact with the Productive.io API for comprehensive project, task, and people management.
Provides semantic indexing and advanced search for codebases, enabling deep understanding and integration with AI coding agents.
Establish a centralized collaboration inbox for AI agents and runtimes using the Human Agent Protocol (HAP).
Facilitates human-to-AI code review for UI prototypes, allowing AI agents to automatically fix code based on browser-based feedback.
Facilitates real-time communication between various AI assistants via a universal message bus.
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