Discover our curated collection of MCP servers for collaboration tools. Browse 1011servers and find the perfect MCPs for your needs.
Enables AI assistants to interact with and manage Feishu project management systems via the Model Context Protocol (MCP).
Enables LLMs to interact with Kibela content by providing an MCP server implementation for the Kibela API.
Enables AI to interact with Gitee repositories, issues, and pull requests.
Browse and interact with an entire Notion workspace as a Model Context Protocol server, eliminating the need for individual database tokens.
Connects to Linear for streamlined task management.
Enables AI assistants to browse and read files from GitHub repositories.
Enables AI assistants to interact with Google Calendar for event management, scheduling, and availability checks.
Generates comprehensive Learning Hour content and interactive whiteboard sessions for technical coaches to foster team technical excellence.
Extends the mem0 cloud service to provide project memory storage, semantic search, and structured data handling for project management.
Enables AI assistants to interact with Zulip workspaces through a model context protocol server.
Retrieves customer support tickets from Intercom, enabling AI assistants to access and analyze conversation history.
Integrates AI assistants with comprehensive Cisco Webex messaging capabilities, providing access to a wide array of communication and management tools.
Enables integration between MCP clients and the Gentoro MCP server implementation.
Integrate Linear project management with Claude for enhanced workflow automation.
Analyzes GitHub Pull Requests using a Model-Controller-Presenter (MCP) architecture.
Enables AI models to securely interact with Wiki.js functionality via the Model Context Protocol (MCP).
Facilitates multi-round AI expert debates by dynamically generating specialized AI agents to discuss any given topic.
Extends Teamwork.com with AI capabilities via the Model Context Protocol (MCP).
Enables multiple AI agents to collaborate through asynchronous messaging using the Model Context Protocol.
Provides a structured thinking environment for AI assistants to enhance reasoning.
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