collaboration tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1011개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates Matrix homeserver functionality, enabling chat, room management, and user interaction through a standardized interface.
Enables AI models to seamlessly manage and interact with various email services.
Connects AI language models with Microsoft OneNote for enhanced interaction.
Enables AI assistants to manage Gitea and Forgejo repositories, streamlining development workflows.
Enables LLMs to interact with Logseq graphs, create pages, manage blocks, and organize information programmatically.
Enables AI models to interact with Notion's API for advanced todo management and content organization.
Integrates Fibery with LLM providers, enabling natural language interaction with your Fibery workspace.
Enables Claude to interact with Microsoft Outlook for macOS to manage emails, calendar events, and contacts.
Systematically refines thoughts and designs through iterative drafts and focused critiques using AI.
Enables AI assistants to manage Google Contacts, search the organization's directory, and interact with Google Workspace.
Bridges Cocos Creator and Cursor AI for synchronized log information, aiding in efficient problem analysis and resolution.
Manages dynamic AI personas through a Model Context Protocol (MCP) server with an integrated GitHub-powered marketplace.
Delivers messages to various communication platforms, including WeChat Work and Telegram, through an MCP server.
Integrates Gyazo images into AI workflows via the Model Context Protocol.
Enables AI assistants to break down user requests into manageable tasks with subtasks, dependencies, and notes.
Integrates Notion into AI workflows through a Model Context Protocol (MCP) server, allowing AI agents to interact with Notion pages and databases.
Enables Claude and other MCP clients to interact with Mattermost workspaces by providing tools for managing channels, messages, users, and monitoring topics.
Enables interaction with Slack workspaces to post messages and query user lists via a Model Context Protocol client.
Coordinates agents by hosting finite state machines as dynamic resources, enabling real-time updates based on state changes.
Facilitates integration with Confluence and Jira by providing functionalities to execute queries and manage content.
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