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。
Exposes Supermodel API graph generation capabilities to AI agents, enabling them to understand code repositories.
Empowers AI to present choices and facilitates user selection through an interactive interface, returning the results to the AI.
Integrates Google's Gemini API, offering a direct interface for AI model interactions including text, image, and video generation.
Exposes PyTorch Lightning training and inspection functionalities through a structured, machine-readable interface.
Automatically detects and suggests fixes for security vulnerabilities in code, including AI-generated code and Infrastructure as Code.
Empower AI assistants to seamlessly interact with MediaWiki wikis for searching, reading, and editing content.
Facilitates semantic, query-driven discovery of tools for the Model Context Protocol, using vector search to resolve the challenge of managing numerous available tools.
Generates Draw.io compatible diagrams from natural language prompts, enabling AI assistants to create visual documentation.
Empower PostgreSQL with an extensible, multi-view data backend featuring AI-agent integration and developer-first tools.
Provides comprehensive system information and management capabilities for Linux servers through MCP and HTTP REST APIs, enabling AI agents to monitor and interact with server resources.
Query personal financial data from Google Sheets using natural language via a local MCP server.
Interfaces with the Washington, DC, Metro (WMATA) APIs to provide real-time transit information and planning capabilities.
Access Apple's App Store Connect API to retrieve Xcode Cloud build information.
Empowers AI coding agents with browser interaction capabilities, including visual debugging, real-time error capture, and process management, to enhance development workflows.
Captures terminal output in real-time and exposes it via Model Context Protocol (MCP) for integration with AI assistants and other tools.
Enables AI models to access and query jOOQ documentation, including SQL examples and best practices.
Enables AI assistants to generate professional infographics and visuals using the Napkin AI API.
Integrates Large Language Models with local code quality tools to automate code checking and fixing workflows.
Offers a collection of Zoo-built utilities accessible via the Model Context Protocol.
Connects Matomo Analytics data to AI assistants like Claude via the Model Context Protocol.
Connects Large Language Models (LLMs) to the Binspire API, offering standardized tools and contextual data for developing autonomous, AI-driven waste management agents.
Ingests Terraform multi-repository module data, creating structured JSON summaries and vector embeddings for AI-powered RAG and semantic search.
Provides AI assistant-powered access to the Vulners vulnerability database for comprehensive security research and software auditing.
Integrates with Mia-Platform Console APIs to enable advanced automation and interaction capabilities for developers and tools.
Integrates Vim and Claude Code, enabling AI-driven control and querying of Vim instances through a Model Context Protocol server.
Integrates AI agents with Dida365 and TickTick for comprehensive task and project management.
Empowers AI assistants to semantically search and organize your saved bookmarks, providing a local-first, privacy-focused knowledge base.
Connects autonomous agents to facilitate real-time collaboration, messaging, task handoffs, and shared context.
Integrates the Doorstop Requirements Engineering Framework with the Model Context Protocol (MCP).
Optimizes large language model context window usage for tool execution by aggregating multiple servers.
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