# testmo-mcp

> testmo-mcp — strelec00-testmo-mcp. Use this tool when you need to integrate AI assistants like Claude and Cursor with your Testmo test management instance. It solves the problem of connecting AI agents to Testmo, enabling automated testing and workflow optimization. The testmo-mcp server takes AI assistant inputs and outputs test management data, using FastMCP and supporting git integration.

Canonical page: https://skillsregistry.net/skills/strelec00-testmo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/strelec00-testmo-mcp

## Description

Python MCP server for Testmo - connect Claude, Cursor, and other AI assistants to your Testmo test management instance. Built with FastMCP.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/strelec00/testmo-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": "strelec00-testmo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/strelec00-testmo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/strelec00-testmo-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