collaboration tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1146개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Facilitates intelligent feature discussions between developers and AI to guide feature implementation and architectural decisions.
Integrates Redmine projects and issues with the Cline VS Code extension.
Connects AI assistants like Claude to a Notion workspace, enabling interaction with databases, pages, and blocks.
Enables natural language interaction with Todoist for task management via a Model Context Protocol server.
Facilitates collaborative debates between multiple AI agents, enabling them to discuss and reach consensus on user prompts.
Enables interaction with GitHub APIs through Claude Desktop for repository and issue management.
Provides an HTTP API service for MCP Teamate.
Demonstrates integration with Model Context Protocol (MCP) servers using a sample chat application.
Enables comprehensive Slack API integration, facilitating message sending, channel management, user retrieval, file uploads, and even a Pomodoro timer.
Establishes a robust interactive feedback server designed to improve communication and workflow for AI development tools.
Enables AI models, such as Claude, to securely interact with Atlassian Confluence via the Model Context Protocol.
Integrates AI assistants with Atlassian Confluence and Jira for enhanced productivity and content management.
Programmatically create, read, and modify Google Docs, Sheets, Slides, and Drive folders with integrated version control.
Manages projects with enterprise permissions and AI superpowers, providing a self-hosted alternative to traditional project management tools.
Connects AI models and MCP clients to the Signal messenger, enabling programmatic interaction with messages and conversations.
Empowers AI agents with comprehensive access to Google Workspace services, including Gmail, Drive, Calendar, Docs, and more.
Transforms a researcher's publications, datasets, and code repositories into a conversational Digital Twin on a federated platform, facilitating inter-agentic research discovery.
Extends the Model Context Protocol (MCP) with 22 specialized tools for Jira and Confluence, enhancing automation and data access for AI agents and other MCP clients.
Facilitates sending Markdown messages, files, and images to WeCom group chats through an AI assistant via the Model Context Protocol.
Enhances AI coding assistants with a persistent code knowledge graph, offering structural understanding, hybrid retrieval, agent memory, and multi-agent coordination capabilities.
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