# Chaos Mesh MCP Server

> Use this tool when you need to test the resilience of Kubernetes clusters through chaos engineering, enabling you to identify and fix potential failures before they occur. It solves problems related to cluster reliability and performance by supporting 24 types of chaos experiments, including network failures and pod disruptions. This tool accepts natural language inputs and generates chaos experiments as outputs, ideal for use cases where proactive testing and validation are crucial.

Canonical page: https://skillsregistry.net/skills/ernestolee13-chaos-mesh-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ernestolee13-chaos-mesh-mcp

## Description

Enables AI assistants to perform chaos engineering and resilience testing on Kubernetes clusters through Chaos Mesh. Supports creating and managing 24 types of chaos experiments including network failures, stress tests, pod disruptions, and I/O faults through natural language conversations.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nna8aawkc6)
- **Repository:** <https://github.com/ernestolee13/chaos-mesh-mcp>

## 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": "ernestolee13-chaos-mesh-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ernestolee13-chaos-mesh-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ernestolee13-chaos-mesh-mcp/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