What does metoro-mcp-server do differently from directly using Metoro’s UI?
It provides a conversational interface via Claude Desktop, allowing you to get observability insights using natural language without leaving the chat app.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"metoro-mcp-server": {
"command": "<your path to Metoro MCP server go executable>/metoro-mcp-server",
"args": [],
"env": {
"METORO_AUTH_TOKEN": "<your auth token>",
"METORO_API_URL": "https://us-east.metoro.io"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The metoro-mcp-server is a Model Context Protocol (MCP) server that exposes Metoro's observability APIs to LLMs, enabling you to ask AI questions about your Kubernetes cluster through the Claude Desktop App. It is built for users of Metoro, an eBPF-based observability platform for microservices running in Kubernetes.
Install the Claude Desktop App, ensure Golang is installed, clone the repository, and build the executable with go build -o metoro-mcp-server. Then configure claude_desktop_config.json with the path to the executable, your Metoro auth token (or a public demo token), and the appropriate API URL. Restart Claude Desktop to see the metoro-mcp-server in the MCP server list.
It provides a conversational interface via Claude Desktop, allowing you to get observability insights using natural language without leaving the chat app.
Go (to build the executable) and the Claude Desktop App. A Metoro account is optional; a live demo cluster with a public token is provided.
The data is stored in Metoro’s backend, generated by eBPF agents deployed in your Kubernetes cluster. The MCP server queries Metoro’s APIs.
Authentication is done via a `METORO_AUTH_TOKEN` environment variable set in the Claude Desktop configuration. For the demo, a publicly available token is provided.
The server communicates with Claude Desktop over stdio as a subprocess, as configured in the `claude_desktop_config.json`.
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