Discover our curated collection of MCP servers for collaboration tools. Browse 1064servers and find the perfect MCPs for your needs.
Enables AI-powered interaction with Confluence Cloud through a Spring Boot-based Model Context Protocol server.
Integrates Large Language Models (LLMs) with the Taiga project management platform via the Model Context Protocol for AI-powered automation.
Enables direct interaction between AI models and Redmine project management systems via the Model Context Protocol.
Integrates with the Zoho Projects API, enabling AI assistants to manage projects, tasks, issues, and other project management elements.
Integrates the Pylon customer support platform with AI agents via the Model Context Protocol (MCP).
Integrates with Azure DevOps to manage work items, wiki documentation, sprint planning, and handle attachments and discussions.
Automates office document processing and management with an intelligent agent system.
Manages software projects with integrated tracking, note-taking, and GitHub synchronization.
Provides a Model Context Protocol (MCP) server for AI agents to coordinate, share memory, and manage tasks across various IDEs and CLI tools.
Connects Model Context Protocol clients with Vikunja for comprehensive task, project, and collaboration management.
Integrates Notion workspaces with AI models through a Model Context Protocol (MCP) server.
Provides an AI memory system offering project-isolated persistent memory banks for coding assistants.
Integrates Float.com's resource management and project planning platform with AI assistants via the Model Context Protocol.
Enables interaction with the Confluence API through MCP.
Connects AI assistants to self-hosted Jira instances, enabling comprehensive issue management and information retrieval.
Integrates ClickUp with the Model Context Protocol (MCP) to manage notes and create summaries.
Provides AI assistants with complete ClickUp API access through a comprehensive Model Context Protocol server.
Integrates Confluence with AI assistants, enabling natural language interactions with documentation.
Establishes a local, version-controlled planning and document layer for AI assistants, ensuring a single source of truth for project context.
Provides a local intelligent server for managing AI agent planning documents, coordinating tasks, and tracking project progress across various LLM tools.
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