Discover our curated collection of MCP servers for productivity & workflow. Browse 8051 servers and find the perfect MCPs for your needs.
Provides detailed information about your development environment to enhance code editor assistance.
Provides an integrated server and UI panel within VS Code/Cursor for retrieving and displaying command-line tool documentation.
Enables interaction with Raindrop.io bookmarks through simple, human language from within Claude Desktop.
Integrates Amplitude analytics into AI workflows, allowing AI assistants to track events and user behavior.
Manage Zoom meetings programmatically through a Model Context Protocol (MCP) interface.
Transforms OpenAPI specifications into discoverable and usable Model-Context-Protocol tools.
Extends Trello's capabilities within AI environments by providing comprehensive API coverage for managing boards, lists, cards, and labels.
Integrate CleanShot X on macOS with AI assistants, enabling control over screenshots and screen recordings using natural language commands.
Provides comprehensive analysis and insights into local browser history data from multiple browsers.
Enables natural language interaction with TickTick task management via AI clients like Claude, leveraging a high-performance unofficial API.
Provides AI assistants with complete ClickUp API access through a comprehensive Model Context Protocol server.
Generates, manages, and stores Mermaid diagrams and mind maps from various data formats with automatic persistence.
Unifies multiple AI Model Context Protocol (MCP) servers into a single endpoint for AI assistants, managing and exposing tools via HTTP with prefix support.
Enables MCP clients to perform various operations on the Windows version of WeChat through the WeChatFerry framework.
Transforms your AI assistant into a mobile development powerhouse, providing seamless integration for Flutter, iOS, and Android.
Provides deterministic tech stack recommendations, project estimations, and technical debt audits for large language model clients.
Empower large language models with a persistent, version-controlled knowledge base to complete and reuse thoughts across sessions and agents.
Provides a drop-in memory layer for AI coding agents, enhancing them with hybrid search, governance, and shared memory capabilities.
Optimizes Claude Code setups by scanning for improvements, identifying issues, and providing actionable fixes and reports.
Indexes local codebases into structured entities, providing a repo-scoped context platform for coding assistants via JSON-RPC.
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