# TestRail MCP Server

> Use this tool when you need to manage test cycles and interact with the TestRail API within AI environments. It enables seamless management of TestRail projects, test cases, runs, and results through MCP-supported clients. Ideal for automating testing workflows and integrating test management with AI-powered systems.

Canonical page: https://skillsregistry.net/skills/bun913-mcp-testrail  
JSON: https://api.skillsregistry.net/v1/skills/bun913-mcp-testrail

## Description

Enables management of TestRail projects, test cases, runs, and results directly through MCP-supported clients. It provides a comprehensive set of tools to interact with the TestRail API for seamless test cycle management within AI environments.

## 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:** api-integration
- **Updated:** 2026-05-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ttm57blob3)
- **Repository:** <https://github.com/bun913/mcp-testrail>

## 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": "bun913-mcp-testrail"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bun913-mcp-testrail` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bun913-mcp-testrail/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