お気に入りのツールにAIを接続するためのMCPサーバーの完全なコレクションをご覧ください。
Provides example servers and clients used in the Model Context Protocol tutorials.
Analyzes software composition for vulnerabilities and malicious packages using policy-as-code.
Assists models in understanding Vite and Nuxt applications.
Collects and shares AI prompts, best practices, and curated rules to enhance developer workflows within AI-assisted coding tools.
Exposes LLM documentation defined in llms.txt files to IDEs for improved context retrieval and auditability.
Streamlines the creation of MCP server applications using a simple Python framework.
Facilitates client-side consumption of Cloudflare's AI offerings through a monorepo of packages and demo applications.
Connects Slack workspaces to Model Context Protocol (MCP) for enhanced integration with AI models.
Provides a comprehensive context engineering infrastructure with unified Model Context Protocol (MCP) tools and secure integrations for AI agents.
Connects AI agents to databases, providing team's proven query patterns for collaborative learning and faster development.
Experiments with Azure API Management's AI capabilities, integrating with Azure OpenAI, AI Foundry, and more.
Integrates Google Workspace services with AI assistants and applications via the Model Context Protocol.
Simplifies building backend applications in Go with modularity and observability.
Integrates Google Analytics APIs with a local Model Context Protocol (MCP) server to provide LLM-consumable tools for analytics data.
Integrates the OpenAI API within the Unreal Engine, enabling AI-powered functionalities.
Provides semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
Provides an intuitive, tool-integrated AI chat interface for seamless interaction with external services and custom workflows.
Enables AI models to analyze Windows crash dumps by bridging LLMs with WinDBG/CDB.
Enables Claude to interact with the ChatGPT desktop application on macOS.
Enables web browsing directly from environments like Cursor by acting as a browser-use MCP server.
Enables AI assistants to manage Gmail through natural language interactions with auto authentication support.
Automates the creation of short-form videos for platforms like TikTok, Instagram Reels, and YouTube Shorts from text inputs.
Bridges large language models and AI agents with physical robots, translating natural language commands into ROS/ROS2 instructions without code changes.
Facilitates structured, progressive thinking by breaking down complex problems into sequential stages.
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
Implements a Model Context Protocol (MCP) server for PHP applications.
Enables AI assistants to interact with Kubernetes clusters through natural language via the Model Context Protocol (MCP).
Analyzes agentic systems to identify potential vulnerabilities and security insights.
Manage Model Context Protocol servers with ease.
Facilitates the discovery and installation of MCP servers built for use with Cline.
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