metoro-mcp-server
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Metoro MCP Server allows interaction with Kubernetes clusters via the Claude Desktop App using the Model Context Protocol.
The Metoro MCP Server is a robust implementation of the Model Context Protocol (MCP), designed to facilitate seamless integration between LLM applications and external data sources, specifically Kubernetes clusters. By leveraging the Metoro observability platform, which utilizes eBPF-based instrumentation, the server provides deep telemetry insights without requiring code changes. The data collected is sent to Metoro's backend for storage and can be accessed through APIs exposed by the MCP server. This setup allows users to query their Kubernetes clusters using AI, enhancing the capabilities of AI-powered IDEs, chat interfaces, and custom AI workflows. The server is built using Golang and integrates with the Claude Desktop App, providing a user-friendly interface for managing and interacting with Kubernetes environments.
Features
- Seamless Integration: Connects LLM applications with Kubernetes clusters using the Model Context Protocol.
- Deep Telemetry: Utilizes eBPF-based instrumentation for detailed insights without code modifications.
- AI Interaction: Allows querying of Kubernetes clusters through AI interfaces like the Claude Desktop App.
- Golang SDK: Built on top of the Golang MCP SDK for robust performance.
- User-Friendly: Easy setup and integration with existing Metoro accounts or demo environments.
