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
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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