Discover our curated collection of MCP servers for collaboration tools. Browse 1064servers and find the perfect MCPs for your needs.
Provides a user interface for Nx and Lerna monorepos, enhancing developer workflow and AI integration within code editors.
Integrates Google Workspace services with AI assistants and applications via the Model Context Protocol.
Connects Slack workspaces to Model Context Protocol (MCP) for enhanced integration with AI models.
Integrates Google Calendar with Model Context Protocol, enabling LLMs to manage calendar events through a standardized interface.
Enables interaction with Jupyter notebooks running in a local JupyterLab environment through the Model Context Protocol (MCP).
Enables Claude to interact with Notion workspaces through a dedicated MCP server.
Facilitates structured, progressive thinking by breaking down complex problems into sequential stages.
Enables Large Language Models to interact with Excalidraw diagrams and drawings through a structured API.
Unifies enterprise search and collaboration by connecting applications and data into a single interface.
Manages coding preferences via a Model Context Protocol server, enabling efficient storage, retrieval, and search functionality.
Provide a powerful open-source data catalog for discovering, understanding, and leveraging data assets across an organization.
Enables interaction with Google Workspace products such as Gmail and Calendar.
Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph database and the Model Context Protocol.
Enables interaction with Microsoft 365 services through the Graph API using a Model Context Protocol.
Integrates the Godot Engine with AI assistants for enhanced game development workflows.
Empowers AI development teams by serving as a central knowledge hub, automating demand analysis, UI asset extraction, and fostering collaboration across diverse AI assistants.
Enables AI Agents to efficiently collaborate with Feishu/Lark by encapsulating Open Platform API interfaces.
Empower users to build collaborative AI agents rapidly with a simple UI, supporting local and remote AI models, crypto payments, and multi-platform compatibility.
Enables AI-powered coding tools to access Feishu documents via a Model Context Protocol server.
Facilitates software development planning through an interactive and structured approach.
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