# MCP Gherkin Server

> Use this tool when you need to automate the generation of Gherkin feature files, solving integration challenges with other applications through the Model Context Protocol (MCP). It takes in model data as input and outputs programmatically generated Gherkin files, streamlining testing and development workflows. Ideal for use cases requiring seamless integration and automated testing file creation.

Canonical page: https://skillsregistry.net/skills/eax-testai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/eax-testai-mcp-server

## Description

Programmatically generates and saves Gherkin feature files using the Model Context Protocol (MCP), making it easy to integrate with other applications.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/he59molhtb)
- **Repository:** <https://github.com/eax/testai-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": "eax-testai-mcp-server"
    }
  }
}
```

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