productivity & workflow向けの厳選されたMCPサーバーコレクションをご覧ください。8981個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Manages software projects with integrated tracking, note-taking, and GitHub synchronization.
Automates Figma design creation and manipulation through plugins and direct integration.
Provides example implementations of Model Context Protocol (MCP) servers for use with Cursor IDE, enabling enhanced AI capabilities with custom tools and data sources.
Analyzes GitHub pull requests and manages issues as part of an automated workflow.
Facilitates code review by fetching and applying custom coding guidelines, validation rules, and security standards.
Exposes SmartThings helper tools via a Model Context Protocol server.
Facilitates enhanced problem-solving by providing systematic thinking, mental models, and debugging approaches through a Model Context Protocol server.
Fetches and summarizes the latest technology news from infomate.club/vas3k.
Integrates Google Drive functionalities with the Model Context Protocol (MCP), providing a standardized interface for comprehensive file management and content retrieval.
Powers an intelligent, AI-agent-driven backend service for comprehensive accounting and ledger management.
Searches and downloads academic papers from multiple platforms, designed for integration with large language model tools.
Empowers AI agents to interact with local code and data through an optimized Python-based Model Context Protocol server.
Integrates external AI tools and services with Claude Code through standardized Model Context Protocol (MCP) servers.
Empower AI agents with persistent, contextual memory to transform them into long-term, knowledgeable employees.
Provides comprehensive control over ProPresenter presentations through its API, exposing a wide range of functionalities as a Model Context Protocol (MCP) server.
Empowers AI coding agents with persistent memory, enabling them to learn from corrections and maintain consistent behavior across sessions.
Enables AI assistants to reliably execute Windows command-line and PowerShell commands without encountering hangs or resource issues.
Enables AI agents to conduct real user interviews via voice calls and generate structured insights like themes and verbatim quotes.
Facilitates the integration of AI tooling with development environments for enhanced productivity.
Consolidates numerous Model Context Protocol (MCP) servers into a streamlined interface for large language models.
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