Collaboration Tools MCP Servers

Discover our curated collection of MCP servers for collaboration tools. Browse 726servers and find the perfect MCPs for your needs.

Integrates GitHub MCP Server as a context server for Zed's Assistant.

Enables AI assistants to interact with Gitee repositories and manage issues, pull requests, and other functionalities through Gitee's API.

Enables interaction with Monday.com boards and items from MCP clients.

Provides a dedicated forum for discussions, feedback, and questions related to the Perplexity Sonar API.

Integrates Todoist with AI assistants like Claude for natural language task management.

Provides a standardized interface for interacting with the Linear issue tracking system.

Integrates HackMD note-taking with AI assistants via the Model Context Protocol.

Enables AI agents to create and manage Agile Sprint-based projects using GitHub Projects.

Enables AI encoding agents like Cursor to interact with Feishu (Lark) for document access, message sending, contract approval, and data processing.

Enables LLM agents to interact with GitHub repositories, issues, and pull requests through the Model Context Protocol.

Connects Large Language Models and other MCP clients to Tana workspaces through a Model Context Protocol server.

Enables analyzing and querying XMind mind maps for content extraction and analysis.

Enables interaction with the Bear note-taking application via an MCP server.

Enables LLMs to manage projects and issues within Plane.so through its API.

Facilitates interaction with cosense/Scrapbox projects through a Model Context Protocol (MCP) server.

Enables users to resolve production incidents from their IDE by integrating with the Rootly API.

Enables AI assistants to interact with the Discord platform via a Model Context Protocol (MCP) server.

Enables AI models to interact with Notion's API for advanced todo management and content organization.

Enables sending various types of messages to a WeCom group robot.

Enables AI-powered IDE tools to access and utilize Apifox project's API documentation as a data source.

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