# Gaffer MCP Server

> Use this tool when you need to analyze project health and debug failures in your codebase. The Gaffer MCP Server connects AI coding assistants to test history and coverage data, enabling the analysis of test stability, failure clustering, and code coverage trends. It provides insights to identify untested code areas and improve overall project quality.

Canonical page: https://skillsregistry.net/skills/gaffer-sh-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gaffer-sh-mcp

## Description

Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/msi2y1po69)
- **Repository:** <https://github.com/gaffer-sh/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": "gaffer-sh-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gaffer-sh-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gaffer-sh-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