Discover our curated collection of MCP servers for collaboration tools. Browse 1561 servers and find the perfect MCPs for your needs.
Integrates JIRA directly into the Cursor IDE via the Model Context Protocol.
Enables Claude to maintain context and knowledge across chat sessions by managing project-specific memories.
Analyzes GitHub Pull Requests using a Model-Controller-Presenter (MCP) architecture.
Integrates Confluence Wiki content with VSCode/Cursor using an MCP Server.
Enables AI agents to interact with Atlassian products like Confluence and Jira through a standardized interface.
Enables integration between MCP clients and the Gentoro MCP server implementation.
Connects to Linear for streamlined task management.
Enables AI large language models to interact with Feishu (Lark) APIs, primarily supporting multidimensional table operations through tool calls.
Extends the mem0 cloud service to provide project memory storage, semantic search, and structured data handling for project management.
Retrieves content from a ONES Wiki and converts it into an AI-friendly text format.
Generates comprehensive Learning Hour content and interactive whiteboard sessions for technical coaches to foster team technical excellence.
Empowers AI assistants to manage Atlassian Confluence and Jira Cloud workspaces with 51 specialized tools.
Enables real-time, bidirectional communication between Claude AI instances to share insights and facilitate iterative dialogue.
Connects autonomous agents to facilitate real-time collaboration, messaging, task handoffs, and shared context.
Provides semantic indexing and advanced search for codebases, enabling deep understanding and integration with AI coding agents.
Coordinates AI agents to tackle massive projects, eliminating conflicts and context loss through a unified intelligent platform.
Provides MCP-native task management, coordination, and persistent state for AI agent fleets.
Connects Claude to Trello, enabling AI-powered management and automation of your boards and tasks.
Manages product requirements documents with AI, optimizing context usage for significant token cost reductions.
Integrate AI agents into Zulip as @mentionable bots or wire into any Model Context Protocol (MCP) client.
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