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。
Connect functions across different languages and network boundaries to AI agents.
Enables analysis and visualization of AWS cloud spending data using Anthropic's Claude model as an interactive interface.
Provides Claude with a dedicated scratchpad for structured reasoning to improve performance on complex tasks.
Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.
Enables GDB debugging functionality within AI assistants like Claude through the Model Context Protocol.
Enables integration between Large Language Models (LLMs) and JetBrains IDEs by providing a server-side implementation for handling Model Context Protocol (MCP) requests and extension points for custom tools.
Integrates Apple Reminders with Model Context Protocol (MCP) to enable interaction with reminders through a standardized interface.
Enables private interaction with the Linear API for managing issues, projects, and teams through Cline.
Enables LLM programs to query and control Genital Interface Devices within the Buttplug.io ecosystem.
Integrates web search and content extraction capabilities into an MCP environment.
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.
Provides example implementations of Model Context Protocol (MCP) Streamable HTTP client and server in Python and TypeScript.
Provides an interface for AI assistants to access and analyze financial data from Financial Modeling Prep.
Connects Laravel applications with AI assistants using the Model Context Protocol.
Enables AI assistants to interact with and manage Azure Kubernetes Service (AKS) clusters.
Serves Tesla vehicle data and analytics from a TeslaMate database to AI assistants via the Model Context Protocol.
Enables natural language interaction with Actual Budget financial data through large language models using the Model Context Protocol.
Facilitates seamless, secure, and robust communication between AI assistants using a natural language-driven protocol.
Provides a collection of open-source Model Context Protocol (MCP) servers for integrating AI models with scientific data, tools, and resources.
Transforms N8N workflows into Model Context Protocol servers, enabling their use as custom tools with AI assistants like Claude and Cursor.
Manages software project specifications through an AI-powered, structured workflow of requirements, design, and implementation documents.
Empowers AI agents with instant, up-to-date access to official Apple developer documentation and video content via a RAG system.
Renders Mermaid diagrams directly within Claude Code, facilitating visual understanding of complex structures and flows.
Orchestrates multiple MCP tools on-demand, drastically reducing token usage for AI agent contexts.
Provides an asynchronous Python SDK for TickTick, combining official and unofficial APIs, and includes an MCP server for AI assistant integration.
Implements a blazingly fast gRPC client and server in Zig, prioritizing maximum performance and minimal overhead.
Offers a unified AI development environment providing file operations, code execution, web deployment, data processing, and image generation for comprehensive agent capabilities.
Empower AI assistants with full programmatic control over the Godot game engine for both design-time and runtime operations.
Provides an on-device context engine and memory system for AI agents, integrating with Claude Code and OpenClaw through hooks and an MCP server utilizing hybrid RAG search.
Integrates AI directly into Unreal Engine, enabling natural language control over game development assets and project settings.
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