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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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metoro-io/metoro-mcp-server

This repository contains th Metoro MCP (Model Context Protocol) Server. This MCP Server allows you to interact with your Kubernetes cluster via the Claude Desktop App! You can read more about the Model Context Protocol here: https://modelcontextprotocol.io But in a nutshell > The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

0 starsUpdated Aug 30, 2026
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Overview

This repository contains th Metoro MCP (Model Context Protocol) Server. This MCP Server allows you to interact with your Kubernetes cluster via the Claude Desktop App! You can read more about the Model Context Protocol here: https://modelcontextprotocol.io But in a nutshell > The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

Capabilities

  • get_cluster_health

    Get cluster health overview — Ask about the current status of your Kubernetes cluster using `get_cluster_health`.

  • get_namespaces

    List namespaces and services — Retrieve all namespaces or services in your cluster via `get_namespaces` and `get_services`.

  • get_pods

    Inspect Kubernetes workloads — Look up details about pods, deployments, or daemonsets with `get_pods`, `get_deployments`, and `get_daemonsets`.

  • get_service_graph

    Query service-to-service communication — See how services interact by fetching the service graph through `get_service_graph`.

  • get_errors

    Investigate errors and traces — Examine error patterns or request traces for a service using `get_errors` and `get_traces`.

Installation

<your path to Metoro MCP server go executable>/metoro-mcp-server

Configuration

{
  "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"
      }
    }
  }
}
Add to Cursor

Paste into ~/.cursor/mcp.json or .cursor/mcp.json

Tags

  • kubernetes
  • monitoring
  • observability-incident
  • devops-infrastructure
  • cloud-infrastructure
  • awesome-list

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