Discover our curated collection of MCP servers for productivity & workflow. Browse 5532servers and find the perfect MCPs for your needs.
Generate modern UI components instantly from natural language descriptions within your IDE.
Enables programmatic interaction between Cursor AI and Figma, allowing for design reading and modification.
Integrates Confluence and Jira with Model Context Protocol (MCP) for enhanced workflow automation and data accessibility.
Extends Claude's desktop app capabilities with terminal control, filesystem operations, and file editing.
Connects APIs and automates workflows with a low-code platform designed for developers.
Implements a Model Context Protocol (MCP) server for the Notion API, enabling AI-driven interaction with Notion content.
Reach inbox zero quickly with this open-source AI email assistant and client.
Orchestrates automated workflows by connecting AI models with various tools and resources using MCP.
Streamline AI-driven development workflows by automating task management with Claude.
Enables seamless integration between AI agents and the Windows operating system.
Enhances ChatGPT's capabilities by providing advanced custom instructions for both general conversational and specialized coding tasks.
Connects AI assistants to n8n's vast library of workflow automation nodes, enabling AI to discover, understand, and build complex workflows efficiently.
Exposes Chrome browser functionality to AI assistants for complex browser automation, content analysis, and semantic search.
Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.
Provides structured spec-driven development workflow tools for AI-assisted software development.
Facilitates agentic AI communication between Cursor and Figma, enabling programmatic reading and modification of design files.
Provides a lightweight memory system for coding agents through a graph-based issue tracker.
Facilitates spec-driven development to ensure alignment between humans and AI coding assistants before any code is written.
Empowers AI coding agents with a comprehensive and structured software development workflow, from design refinement to TDD-driven implementation.
Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework.
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