Discover our curated collection of MCP servers for collaboration tools. Browse 1555 servers and find the perfect MCPs for your needs.
Enables AI agents to interact with Google Workspace services, including Drive, Docs, and Sheets.
Enables AI agents to programmatically manage issues, projects, and teams within the Linear platform.
Manages to-do lists within the Claude Desktop environment, enabling task organization and prioritization.
Facilitates software development planning by creating goals, managing to-do lists, and tracking task status.
Enables LLMs to interact with Lark/Feishu services via a Model Context Protocol (MCP) server.
Enables interaction with a Notion workspace through Claude and other LLMs.
Enables interaction with the Confluence API through MCP.
Enables efficient read-only access to Notion content for AI assistants by reducing the number of exposed API tools.
Manages Freedcamp tasks through a local Model Context Protocol (MCP) server.
Generates and manages activity reports for GitHub repositories, including stars, commits, and issues.
Provides a user confirmation interface for AI assistants through a personal terminal endpoint.
Automates office document processing and management with an intelligent agent system.
Integrates YouTrack's extensive capabilities with various applications via a Model Context Protocol (MCP) server, streamlining issue tracking, project management, and team collaboration.
Connects AI assistants to self-hosted Jira instances, enabling comprehensive issue management and information retrieval.
Integrates AI agents with Dida365 and TickTick for comprehensive task and project management.
Manages structured memory across chat sessions for project-based AI assistant work.
Establishes a privacy-first universal memory and profile layer for AI agents, integrating personal and team context across various AI tools.
Manages team-based tasks and integrates AI assistants like Claude through a standardized Model Context Protocol (MCP) interface.
Integrates Claude with Ashby ATS, enabling users to manage recruiting workflows, browse jobs, and interact with candidate data through natural language conversations.
Establishes an open-source communication channel for AI agents, enabling them to interact across different users and platforms.
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