Discover our curated collection of MCP servers for collaboration tools. Browse 1405 servers and find the perfect MCPs for your needs.
Enables MCP clients to efficiently extract information about GitHub repositories, including summaries, directory structure, and file content.
Connects to the Asana API and allows interaction with Asana tasks, projects, workspaces, and comments.
Connect Claude/Anthropic AI systems to Bitbucket to access and manage repositories, pull requests, and workspace data.
Enables AI assistants to interact with Notion's API for reading, creating, and modifying content through natural language.
Provides a standardized interface for interacting with Notion's API as a Model Context Protocol (MCP) server.
Enables Language Models to interact with Notion workspaces through standardized tools for managing pages and databases.
Enables AI assistants to interact with Outline documentation services through the Model Context Protocol (MCP).
Integrates Discord with Model Context Protocol (MCP) clients, such as Claude Desktop, enabling interaction with Discord servers.
Connects Dart AI project management tools to AI assistants through the Model Context Protocol.
Connects Claude Desktop to a Redmine instance, enabling interaction with Redmine's API via natural language.
Automates the creation of PowerPoint presentations through a MCP server.
Enables AI assistants to interact with Linear project management systems through natural language.
Enables AI agents to manage documents, collections, and other entities programmatically through the Outline knowledge base platform.
Enables AI agents to directly interact with and manipulate Google Sheets spreadsheets.
Enables AI assistants to interact with the Slack API through a standardized Model Context Protocol interface.
Facilitates interaction with Taskade by connecting MCP clients.
Allows AI agents to request human intervention when uncertain, preventing hallucinations and improving accuracy.
Automates group conversations on WhatsApp, leveraging AI to monitor messages and provide intelligent responses.
Facilitates seamless, secure, and robust communication between AI assistants using a natural language-driven protocol.
Run AI agents locally to automate tasks across messaging platforms, code development, and content creation, keeping your data on your device.
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