# Trunk Flaky Tests

> Use this tool when you need to identify and resolve inconsistent test failures, detect root causes, and receive fix suggestions to improve test reliability and reduce debugging time. It solves problems of flaky tests, saving development teams time and effort by providing actionable insights and recommendations. Ideal for use during testing and debugging phases of software development.

Canonical page: https://skillsregistry.net/skills/io-trunk-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-trunk-mcp-server

## Description

Flaky test detection, root cause analysis, and fix suggestions for development teams.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.trunk%2Fmcp-server)
- **Repository:** <https://github.com/trunk-io/mcp-server>

## Use it

MCP endpoint published by the skill: `https://mcp.trunk.io/mcp`

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": "io-trunk-mcp-server"
    }
  }
}
```

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