Discover our curated collection of MCP servers for collaboration tools. Browse 1561 servers and find the perfect MCPs for your needs.
Enables interaction with Monday.com boards and items from MCP clients.
Provides a standardized interface for interacting with the Linear issue tracking system.
Bridges Cocos Creator and Cursor AI for synchronized log information, aiding in efficient problem analysis and resolution.
Integrates GitHub Enterprise with AI tools via the Model Context Protocol (MCP).
Integrates Fibery with LLM providers, enabling natural language interaction with your Fibery workspace.
Enables interaction with Trello boards through a Model Context Protocol server.
Provides a multi-dimensional, adaptive, and collaborative reasoning framework for AI assistants.
Enables AI encoding agents like Cursor to interact with Feishu (Lark) for document access, message sending, contract approval, and data processing.
Enables AI assistants to manage Google Contacts, search the organization's directory, and interact with Google Workspace.
Generates well-structured product requirements documents through a standardized Model Context Protocol interface.
Integrates Mattermost with Model Context Protocol (MCP) servers using a LangGraph-based AI agent.
Enables Claude to access and interact with Gong call recordings and transcripts through a standardized interface.
Provides a dedicated forum for discussions, feedback, and questions related to the Perplexity Sonar API.
Performs code reviews using various Large Language Models (LLMs) on git diffs, integrating with AI coding assistants.
Facilitates interaction with Clay's Model Context Protocol.
Enables LLM agents to interact with GitHub repositories, issues, and pull requests through the Model Context Protocol.
Manages dynamic AI personas through a Model Context Protocol (MCP) server with an integrated GitHub-powered marketplace.
Delivers messages to various communication platforms, including WeChat Work and Telegram, through an MCP server.
Connects AI assistants to thousands of applications and services via the Model Context Protocol.
Automates comprehensive GitLab development processes, encompassing issue management, branch operations, code commits, merge requests, and code reviews, enabling AI agent control.
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