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 a flexible server to fetch recommendations from the Taboola API.
Generate standardized MCP tools dynamically from any OpenAPI specification.
Transforms SAP S/4HANA and ECC systems into conversational AI interfaces by exposing OData services as dynamic tools for natural language interactions.
Manages authentication with secure credential management, multi-protocol support, and threat detection.
Enables AI models to control YouTube Music playback through Google Chrome.
Interconnects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP).
Integrates Todoist task management with AI assistants via a Model Context Protocol (MCP) server.
Converts web content to Markdown using a simple MCP server.
Integrates agents with the TESS AI platform using the Model Context Protocol (MCP).
No description available
Facilitates building custom extensions for the Goose AI Agent.
Automates DeFi operations, analytics, and token management on the Telos blockchain through a production-ready Model Context Protocol (MCP) server.
Provides a comprehensive Model Context Protocol (MCP) server for PocketBase, offering extensive user and superuser functionalities.
Provides a standardized interface for Large Language Models to access health data from the Senechal API.
Integrates the Source Parts API with Claude to enable searching and managing electronic components, PCB parts, and manufacturing services through the Model Context Protocol.
Makes project documentation accessible to AI assistants for enhanced contextual understanding.
Enables AI agents to execute code in a sandboxed Google Cloud Functions environment.
Monitors file system changes in real time, applies machine learning for anomaly detection, secures data with RS256 encryption, and leverages Agentic AI for adaptive detection algorithms and report translation.
Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.
Provides a foundational project for building Model Context Protocol (MCP) servers.
Provides text-to-speech functionality using the macOS 'say' command.
No description available
Manages MCP server environments, configurations, and local package installations.
Automates browser interactions using Pyppeteer for tasks like navigation, screenshot capture, and element interaction.
Dynamically loads and registers tools, resources, and prompts for a FastMCP server implementation.
Manages and summarizes notes using a custom URI scheme, providing a single prompt for note summarization and a tool for adding new notes.
Automates user sign-ups and data management through an intelligent, conversational AI interface.
Enhances Claude's reasoning capabilities by integrating the DeepSeek R1 reasoning engine.
Integrates the Model Context Protocol server with Claude Sonnet 4, an AI assistant, for enhanced file management and AI-powered assistance.
Enables real-time data communication between web pages and clients via the Model Context Protocol.
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