Discover our curated collection of MCP servers for collaboration tools. Browse 1064servers and find the perfect MCPs for your needs.
Enables AI agents to interact with Google Workspace services, including Drive, Docs, and Sheets.
Provides a comprehensive Model Context Protocol (MCP) server for seamless integration with the Freedcamp API.
Provides an AI Pair Programmer server offering various AI-powered tools for code development and analysis.
Integrates YouTrack's extensive capabilities with various applications via a Model Context Protocol (MCP) server, streamlining issue tracking, project management, and team collaboration.
Enables large language models to interact with and control Jira through the Jira Command Line Interface.
Manage Bitrix24 tasks, workgroups, and users through a standardized MCP/JSON-RPC interface.
Integrates Google's Gemini AI with Claude Code to enable AI-to-AI collaboration and provide dual AI perspectives on development tasks.
Synchronizes work activities across Harvest, Linear, and Slack, featuring automated daily standups and AI-powered time tracking.
Connects an MCP client to IRC networks, allowing communication with the world via IRC.
Connects AI assistants directly to Atlassian Jira projects, issues, and workflows for enhanced interaction and automation.
Integrates ClickUp with the Model Context Protocol to enable note management and summarization.
Enables AI agents to programmatically manage issues, projects, and teams within the Linear platform.
Manage projects efficiently with collaborative Kanban boards for smooth and effective teamwork.
Enables interaction with Jupyter notebooks running in a local JupyterLab environment using the Model Context Protocol (MCP).
Provides AI models with access to Zoom's API capabilities through a Model Context Protocol (MCP) server implementation.
Enables AI agents to collaborate with more capable LLMs for assistance and feedback.
Provides a basic server example for integrating Slack with the Model Context Protocol.
Facilitates AI agent communication and collaboration through a server-sent events (SSE) based system.
Enables interaction with the Jira API through the Model Context Protocol, allowing LLMs to manage and retrieve information from Jira.
Integrates AI assistants with GitLab to enable automated code review, comment posting, and merge request management.
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