# brightdata-mcp-test

> Use this tool when you need to automate testing for Bright Data's MCP (Monitoring and Control Plane) using Git integration, solving problems related to data validation and workflow automation. It takes in Git repository inputs and outputs test results, helping to streamline development and deployment processes. Ideal for use cases requiring continuous testing and validation of MCP configurations.

Canonical page: https://skillsregistry.net/skills/meirk-brd-brightdata-mcp-test  
JSON: https://api.skillsregistry.net/v1/skills/meirk-brd-brightdata-mcp-test

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/meirk-brd/brightdata-mcp-test)

## 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": "meirk-brd-brightdata-mcp-test"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meirk-brd-brightdata-mcp-test` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meirk-brd-brightdata-mcp-test/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