# testrail-mcp-server

> Use this tool when you need to manage TestRail projects and test cases using natural language inputs through MCP tools. It solves problems of manual test management by automating project, test case, run, and result management. The tool accepts natural language commands as input and outputs corresponding TestRail actions and results.

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

## Description

Enables TestRail test management through MCP tools, allowing users to manage projects, test cases, runs, and results via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m2ti2jcmg9)
- **Repository:** <https://github.com/gracexiaowork/testrail-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": "gracexiaowork-testrail-mcp-server"
    }
  }
}
```

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