productivity & workflow를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9684개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Explore and manage PostgreSQL, MySQL, and Firestore databases through a Model Context Protocol (MCP) interface.
Manages software projects with integrated tracking, note-taking, and GitHub synchronization.
Enables interaction with DingTalk through sending messages, retrieving conversation and user information, and managing calendar events.
Leverages AI to process, analyze, and extract information from technical documentation and product manuals.
Integrates RAGFlow's knowledge base querying and document management capabilities directly into Claude Desktop.
Integrates with the MOCO API to provide employee read access for time tracking, project management, holiday, and presence monitoring via a Model Context Protocol (MCP) server.
Orchestrates long-running AI tasks with state-of-the-art LLMs, offering real-time progress monitoring and automated problem-solving strategies.
Provides a comprehensive Model Context Protocol server for Excel operations spanning finance, accounting, rental property management, and expense tracking.
Converts website feedback and bug reports into actionable, context-enriched developer tasks for AI coding tools.
Automates internationalization workflows for JavaScript/TypeScript projects by leveraging AI-powered translations and advanced locale management.
Manages RSS feeds with advanced search, AI-powered semantic search, and a comprehensive reading workflow.
Perform privacy-focused searches across web engines, social media platforms, and archival services.
Integrate AI assistants with popular services and REST APIs through a standardized Model Context Protocol.
Guides users through creating professional Playwright test suites with intelligent prompts and built-in best practices.
Empower AI agents with persistent, contextual memory to transform them into long-term, knowledgeable employees.
Orchestrate universal AI API connections across 252 tools and 17 services with zero configuration and a natural language interface.
Empowers AI coding agents with persistent memory, enabling them to learn from corrections and maintain consistent behavior across sessions.
Empower local LLMs like Qwen3 with comprehensive coding agent capabilities through an MCP server.
Provides AI agents with a persistent, structured knowledge layer of codebases, eliminating the need for repetitive re-learning in every session.
Extracts visible text, image links, and generates AI-ready summaries from public Axure share pages, with multi-page crawling and OCR fallback.
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