Discover our curated collection of MCP servers for collaboration tools. Browse 1064servers and find the perfect MCPs for your needs.
Facilitates research projects by acting as an MCP server to retrieve survey data from and create survey pages in Notion.
Integrates Backlog project management with the Model Context Protocol (MCP).
Enables AI assistants to interact with GitHub through a Model Context Protocol (MCP) server.
Facilitates Mattermost integration by connecting to its API endpoints and making information available through standard MCP transports.
Manages grant applications, funding documentation, and development milestone tracking for the $CLAUD protocol.
Manages todos and integrates with Google Calendar using natural language through OpenAI's Assistant API and Model Context Protocol (MCP).
Manages tasks and project plans through a terminal-based user interface and API.
Integrates the Bear note-taking app with Claude Desktop, enabling access and manipulation of notes.
Enables comprehensive Slack API integration, facilitating message sending, channel management, user retrieval, file uploads, and even a Pomodoro timer.
Enables human-in-the-loop workflows in AI-assisted development by facilitating real-time clarification between AI agents and users.
Provides AI assistants with access to Quip documents and collaboration features via a Model Context Protocol server.
Coordinates work between multiple AI agents in shared codebases using a simple file-based signaling system to prevent conflicts.
Connects AI assistants to multiple messaging platforms like WhatsApp and Microsoft Teams via the Model Context Protocol.
Facilitates seamless communication and coordination among Claude Code instances operating across diverse project directories.
Integrates Focalboard task and board management with AI agents via the Model Context Protocol.
Facilitates comprehensive Jira automation for self-hosted and enterprise instances using basic authentication.
Provides programmatic access to Slack conversations, threads, and workspace information via the Model Context Protocol.
Provides large language models with real-time, inspectable state for confident interaction and operation within remote tmux sessions.
Synchronizes conversational context between Claude Desktop and Claude Code using a shared GitHub repository.
Exposes a Docker-wrapped Slack server as a command-line interface, enabling token-efficient interaction for large language model agents.
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