# SmartBear

> Use this tool when you need to streamline software quality assurance by integrating error monitoring, test automation, API development, and test management. It solves problems related to application errors, testing workflows, and API documentation, providing inputs such as error reports and test results, and outputs like optimized testing workflows and updated API documentation. Ideal for use in software development and testing contexts where automation and coordination are crucial.

Canonical page: https://skillsregistry.net/skills/smartbear  
JSON: https://api.skillsregistry.net/v1/skills/smartbear

## Description

Provides access to SmartBear's suite of software quality tools, including BugSnag for error monitoring, Reflect for test automation, Swagger for API development, PactFlow for contract testing, and QMetry/Zephyr for test management. Enables AI assistants to interact with testing workflows, monitor application errors, manage API documentation, and coordinate testing activities across the SmartBear ecosystem.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/smartbear)
- **Repository:** <https://github.com/smartbear/smartbear-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": "smartbear"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smartbear` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smartbear/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