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。
Manages CloudLab/Emulab experiments, enabling AI assistants to directly interact with your experimental setups.
Provides historical and real-time financial data for stocks, indices, funds, and futures through a Model Context Protocol server.
Automates business processes, integrates APIs, and develops AI solutions through a collection of advanced n8n workflows, chatbots, RAG integrations, and invoice automation.
Verifies and reports the supported Model Context Protocol (MCP) capabilities of connected hosts or clients.
Develops cloud-native news portals on AEMaaCS through accelerated archetype generation and efficient component coding in AWS Kiro IDE.
Access over 249 APIs effortlessly through the Model Context Protocol for seamless integration and development.
Automates multi-language test discovery and execution for AI assistants, supporting Python, JavaScript/TypeScript, Go, Rust, Java, and Ruby projects.
Enables AI agents to dynamically collect user input through automatically generated web forms based on provided field names.
Securely access and manage encrypted SQLite databases through a server designed for seamless SQLCipher integration.
Enables AI assistants, such as ChatGPT, with powerful code exploration, navigation, and search capabilities across local and remote repositories.
Manages intelligent research data using vector embeddings and semantic search for saving, organizing, and retrieving content, deployed on AWS EC2.
Provides a full-stack health dashboard for viewing patient biomarker data with AI-driven analysis and live updates.
Automate large-scale Spotify library management, including batch playlist creation, song importing, and comprehensive library exports with human-in-the-loop review.
Provides intelligent research data management using vector embeddings and semantic search via an MCP server.
Automates the setup, configuration, and lifecycle management of MCP servers for AI agents.
Enables AI-driven Python code generation and secure execution by integrating large language models with the Model Context Protocol for seamless tool utilization.
Orchestrates multi-step automation workflows by connecting various services through a visual builder and the Model Context Protocol.
Automates security testing tasks and environment interaction through a conversational MCP interface within a controlled host environment.
Facilitates real-time, multi-language collaborative code editing, enabling users to write, edit, share, and execute code directly in the browser with live synchronization.
Enable Large Language Models to fetch accurate current time from NTP servers worldwide.
Empowers AI agents to access comprehensive UNHCR data on forcibly displaced persons through a standardized interface.
Manage personal finances with secure transaction tracking, advanced analytics, and recurring transaction support.
Enables AI assistants to interact with and manage Google Ads data through the Model Context Protocol.
Performs initial candidate screening by analyzing hybrid chat and video stream inputs to assess skills, confidence, and sentiment against job descriptions.
Provides an MCP server to programmatically manage Google Forms for deep application-to-application integration.
Integrate reMarkable Cloud functionalities with AI agents for document browsing, reading, and handwriting recognition.
Facilitates programmatic interaction with PostgreSQL databases for schema exploration, query execution, and data management.
Facilitates discovery and documentation of Fal.ai models via a Model Context Protocol (MCP) server.
Automates macOS graphical user interfaces and inspects applications using native accessibility APIs.
Provides a unified server to check package versions and metadata across various programming language ecosystems.
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