Gcore

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The Gcore Model Context Protocol (MCP) server acts as a crucial bridge, allowing Large Language Model (LLM) assistants to seamlessly interact with and manage Gcore Cloud resources. It provides a highly configurable interface, empowering LLMs to perform operations such as creating virtual machines, managing storage, configuring networks, and overseeing AI/ML services, all through a unified and intelligent automation layer. This tool simplifies cloud resource management by making it accessible and programmable via AI-driven interfaces.

Características Principales

• Unified configuration for tool selection via a single environment variable (GCORE_TOOLS)
• Flexible tool filtering with predefined toolsets, wildcard patterns, and combined modes
• Support for comprehensive Gcore Cloud API operations, including instances, networks, storage, and AI/ML
• Seamless integration capabilities with LLM development environments like Cursor IDE
• Lightweight execution options for temporary runs and persistent installation via `uv`
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Casos de Uso

• Automating Gcore Cloud resource provisioning and management through LLM assistants
• Integrating Gcore Cloud services into AI development workflows for intelligent automation
• Developing AI-powered applications that can dynamically interact with and control cloud infrastructure