# Kubernetes + Prometheus SRE MCP Server

> Use this tool when you need to manage Kubernetes clusters, monitor service level objectives (SLOs), and execute PromQL queries using natural language inputs. It solves problems related to cluster operations, performance monitoring, and query execution, providing outputs in a human-readable format. Ideal for use cases requiring efficient and intuitive cluster management, SLO monitoring, and Prometheus query execution via natural language interfaces.

Canonical page: https://skillsregistry.net/skills/manishmaurya22-sre-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/manishmaurya22-sre-mcp-server

## Description

Enables natural language Kubernetes cluster operations, SLO monitoring, and PromQL queries via Claude using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z52ht8ksgo)
- **Repository:** <https://github.com/ManishMaurya22/sre-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "manishmaurya22-sre-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manishmaurya22-sre-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manishmaurya22-sre-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt