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。
Enables interaction with native Apple apps like Messages, Notes, and Reminders through the Model Context Protocol.
Provides access to real-time and historical stock market data for AI assistants through the Model Context Protocol (MCP).
Enables AI assistants to create, read, and manipulate Microsoft Word documents through a standardized interface.
Integrates Tavily's search and data extraction capabilities with AI assistants via the Model Context Protocol.
Enables Large Language Models to interact with Excalidraw diagrams and drawings through a structured API.
Enables interaction with iOS simulators for tasks like UI inspection, UI interaction, and screenshot capture.
Connect any AI agent to Solana protocols for autonomous interaction with web3 functionalities.
Facilitates communication with MCP servers by providing a LangGraph agent and a CopilotKit-powered frontend.
Integrates any LLM supporting function calling capabilities into a desktop application.
Integrate and manage MCP (Model Context Protocol) servers within Neovim, offering a centralized configuration and intuitive UI.
Control Unreal Engine through natural language using the Model Context Protocol (MCP).
Integrates JADX decompiler with Model Context Protocol (MCP) for AI-powered static code analysis and real-time reverse engineering.
Automates interactions with Twitter, including scraping data, sending tweets, and engaging with Grok AI, all without needing the official Twitter API.
Empowers RSS with AI to automatically filter, summarize, and deliver important information, reducing information overload.
Enables human-in-the-loop workflows for AI-assisted development tools by providing a simple Model Context Protocol (MCP) server.
Enables semantic search and workflow automation for medical and scientific papers using AI.
Provides a powerful, self-hostable AI Agent platform for maximum privacy and flexibility, acting as a complete drop-in replacement for OpenAI's Responses APIs with advanced agentic capabilities on consumer-grade hardware.
Create custom chatbots with personalized knowledge bases using advanced language models.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Exposes comprehensive browser functions via the Model Context Protocol, enabling external applications and AI models to programmatically interact with a web browser.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Integrates Google Analytics APIs with a local Model Context Protocol (MCP) server to provide LLM-consumable tools for analytics data.
Integrates AI assistants like Claude Code and Codex with Google's NotebookLM, enabling grounded, citation-backed research directly from your documentation.
Enables coding agents to communicate and coordinate asynchronously, providing a mail-like system with identities, inboxes, and shared context.
Empowers AI coding tools to generate robust, performant, and modern PostgreSQL code by providing deep, versioned expertise.
Enables AI assistants to interact with Home Assistant, allowing natural language control of smart home devices, state queries, service execution, and automation management.
Transforms an ESP32 into a versatile WiFi NAT router and firewall, enabling network extension, isolation, and advanced traffic control.
Transforms large codebases into a searchable, hierarchical feature graph by combining AST parsing, spectral clustering, and Obsidian-style linking.
Provides an open-source, self-hostable API for real-time meeting transcription and intelligent bot interactions across Google Meet, Microsoft Teams, and Zoom.
Enables multiple Claude Code instances to discover and communicate with each other instantly for collaborative AI workflows.
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