Discover our curated collection of MCP servers for collaboration tools. Browse 1064servers and find the perfect MCPs for your needs.
Exposes Pearl's AI and Expert services through a standardized Model Context Protocol (MCP) interface.
Enables querying and analysis of Intercom conversations within LLM-powered workflows.
Coordinates multiple AI agents working simultaneously on the same codebase within Cursor IDE to prevent conflicts and manage dependencies.
Browse and interact with an entire Notion workspace as a Model Context Protocol server, eliminating the need for individual database tokens.
Enables AI agents to decompose complex tasks into manageable subtasks using structured JSON for efficient progress tracking and context preservation.
Demonstrates how to build and deploy an intelligent customer service application using the MCP framework.
Provides access to Jira issues within the Cursor AI environment.
Enables comprehensive interactions with the GitHub API for file operations, repository management, search, and more.
Automates interactions with Slack channels using Spring AI.
Provides a unified Multi-Component Protocol (MCP) server for managing all OAuth-enabled third-party integrations.
Manages project backlogs using Markdown files in Git for frictionless collaboration between AI agents and developers.
Facilitates multi-LLM deliberation where multiple LLMs collaboratively answer questions through peer review and synthesis.
Enables AI to interact with Gitee repositories, issues, and pull requests.
Enables interaction with Zoom Cloud Recording transcripts through a structured interface.
Orchestrates and combines prompts with MCP servers to create compound Model Context Protocol (MCP) tools.
Enables AI assistants to interact with Zulip workspaces through a model context protocol server.
Enables AI large language models to interact with Feishu (Lark) APIs, primarily supporting multidimensional table operations through tool calls.
Enables developers to integrate Apifox API definitions with Cursor IDE for AI-assisted code implementation.
Establish a centralized collaboration inbox for AI agents and runtimes using the Human Agent Protocol (HAP).
Orchestrates tasks for collaborative human and AI agent teams, providing unified visibility and an immutable audit trail.
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