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 modernized suite of specialized Model Context Protocol (MCP) servers designed for advanced prompt processing, comprehensive prompt engineering, and context-specific development support.
Enables querying Large Language Models with context derived from local files.
Provides a modular, secure, and zero-configuration backend solution for Go applications, managing features like authentication, encryption, and logging.
Provides the foundational backend services for the Machine Command Protocol (MCP) ecosystem.
Empowers dynamic tool loading and custom logic execution within MCP servers using Starlark scripts.
Automate interactions with Gradle projects using the Gradle Wrapper through a Model Context Protocol server.
Facilitates PDF document generation within the MCP Server ecosystem.
Provides secure, sandboxed access to filesystem operations, enabling controlled file management via the Model Control Protocol.
Enables AI language models to interact with YouTube content through a standardized interface.
Integrates Blender with AI assistants like Cursor AI, enabling programmatic 3D object creation and manipulation.
Enables AI assistants to interact with the Flow blockchain using a standardized Model Context Protocol (MCP) interface.
Provides a modular web crawler and a REST API for managing and storing webpage data, integrated with an MCP server.
Facilitates rapid research and development using AI, AI Agents, and Large Language Models within a VS Code environment.
Manages Tailscale networks with a FastMCP 2.12 compliant server, offering extensive control and observability.
Facilitates AI assistants in programmatic interaction with Instagram using the Model Context Protocol.
Provides simulated weather data and related functionality through an MCP and HTTP API server.
Provides an MCP server for seamless interaction with the Glitchtip error tracking API.
Serves as a backend for managing product-related data.
Connects large language models to live SAP Ariba Procurement data, enabling natural language querying.
Enables AI assistants to seamlessly manage Docker containers, images, and networks via a standardized JSON-RPC interface using the Model Context Protocol (MCP).
Efficiently query and explore Unix man pages.
Provides a Model Context Protocol (MCP) server to determine daily production deployment suitability with humorous developer-centric reasons.
Gathers information from various smart home devices and services around a house.
Enable intelligent journaling by leveraging large language models, RAG for querying, and robust data indexing for personal entries.
Offers a unified agentic playground for AI benchmarking, workflow automation, and diverse game environments.
Provides real-time flight search, status, and airline information by integrating with the Amadeus API for AI assistants.
Provides read-only access to PostgreSQL databases for Large Language Models, enabling schema inspection and query execution.
Manages persistent REPL sessions across various programming languages and shells.
Automates the cleanup of feature flags in various programming languages by replacing flag calls with their configured final values.
Analyzes food images to detect items, calculate calories and protein content, and answer nutrition-related questions using AI.
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