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 AI language models to interact with Microsoft OneNote through a standardized interface.
Empowers AI agents to securely connect with over 200 business applications through a unified Model Context Protocol server.
Integrates Perplexity AI's powerful search capabilities into the Model Context Protocol (MCP) for AI agents and automated workflows.
Provides a specialized physics-focused Model Context Protocol (MCP) server with advanced computational, plotting, and natural language interface capabilities for scientific workflows.
Enables AI assistants to interact with Nautobot network automation platforms, providing access to network inventory data.
Manages personal tasks and productivity through a modern FastAPI-driven todo list application, integrated with an AI-enabled command-line interface.
Generates dynamic UI templates based on natural language requests using large language models and the Model Context Protocol.
Enables AI assistants to programmatically manage cPanel email accounts, passwords, quotas, and forwarders via API.
Provides a TypeScript interface for automating Binance spot trading operations.
Fetches cigarette data from Yanyue (Yanyue.cn) using an MCP server.
Converts documents between various formats while preserving content fidelity.
Leverages Google Gemini AI to provide intelligent project planning and comprehensive code review capabilities via the Model Context Protocol.
Accepts local face and ID images for fusion via a ComfyUI server, saving the merged results locally.
Bridges Model Context Protocol tool calls to JSON-RPC functions over Unix sockets, providing secure, context-based scoping for multi-tenant server deployments.
Enables connecting to Apache Hadoop Hive data from Claude Desktop through CData JDBC Drivers.
Automates UI testing for mobile applications using LLMs and Appium.
Connects MCP servers to Microsoft Semantic Kernel, enabling LLMs to seamlessly call external tools.
Serves as a MCP server implementation based on the Marker project.
Cleans and normalizes large language model prompts, redacts sensitive information, and standardizes output formats.
Transforms N8N workflows into AI-callable Model Context Protocol (MCP) servers for seamless integration with AI assistants.
Exposes a simple FastAPI CRUD API as a set of interoperable tools using FastMCP, complete with Docker containerization and client integration instructions.
Tracks Python development sessions, errors, fixes, and coding patterns using a persistent knowledge graph to build a searchable database of learnings and solutions.
Provides book-related tools through a Model Context Protocol (MCP) server built with FastAPI, offering both stdio and HTTP interfaces.
Enables natural language interactions with Salesforce data and metadata through a Model Context Protocol (MCP) server.
Enables AI assistants to manage song requests, monitor queues, and interact with StreamerSongList APIs on streaming platforms.
Enables AI-assisted game development through a complete game engine with a built-in MCP server.
Enables AI assistants to interact with Amazon Redshift databases using the Model Context Protocol.
Enhances GitHub pull request management with structured templates, rich media support, and automated checklists.
Integrates self-hosted Forgejo repositories with Claude Desktop, enabling AI-powered interaction and management.
Interfaces with FHIR servers to retrieve healthcare data using natural language queries.
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