Discover our curated collection of MCP servers for collaboration tools. Browse 1540 servers and find the perfect MCPs for your needs.
Enables AI assistants to browse and read files from GitHub repositories.
Enables developers to integrate Apifox API definitions with Cursor IDE for AI-assisted code implementation.
Integrates Gmail with MCP clients to access and search emails.
Enables AI models to interact with messages from multiple messaging platforms through a standardized interface.
Enables querying and analysis of Intercom conversations within LLM-powered workflows.
Orchestrates and combines prompts with MCP servers to create compound Model Context Protocol (MCP) tools.
Transforms Modular Communication Protocol (MCP) tools into collaborative agents utilizing the LangGraph framework.
Enables AI models to securely interact with Wiki.js functionality via the Model Context Protocol (MCP).
Enables direct interaction between AI models and Redmine project management systems via the Model Context Protocol.
Integrates DingTalk robot notifications directly with Claude Code sessions to automate alerts and updates.
Provides AI assistants with complete ClickUp API access through a comprehensive Model Context Protocol server.
Manages project backlogs using Markdown files in Git for frictionless collaboration between AI agents and developers.
Provides a local-first collaboration hub for AI agents, unifying project assets, real-time messaging, and dependency analysis.
Provides semantic indexing and advanced search for codebases, enabling deep understanding and integration with AI coding agents.
Establish a centralized collaboration inbox for AI agents and runtimes using the Human Agent Protocol (HAP).
Manage Crisp customer support conversations, messages, and operators through an MCP-compatible client.
Facilitates human-to-AI code review for UI prototypes, allowing AI agents to automatically fix code based on browser-based feedback.
Streamline Figma workspace administration, managing seats, teams, permissions, and organizational settings via the command line.
Connects AI agents to Notion using a markdown-first approach for efficient and accurate content management.
Provides AI agents with a robust identity infrastructure, enabling them to learn user preferences and evolve into more effective collaborators over time.
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