# Prompt Lab MCP Server

> Use this tool when you need to optimize and refine prompts for Claude Code, as it streamlines the process through automated loops and regression testing, with a user-friendly web interface for real-time score visualization and prompt revision tracking. It solves problems related to prompt engineering and testing, providing inputs for prompt templates and outputs for optimized prompts and score metrics. Ideal for use cases requiring iterative prompt refinement and performance evaluation.

Canonical page: https://skillsregistry.net/skills/jurek-f-prompt-lab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jurek-f-prompt-lab-mcp

## Description

Enables prompt optimization loops and regression test suites for Claude Code, with a companion web UI for real-time visualization of scores and prompt revisions.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s9s8c6inqv)
- **Repository:** <https://github.com/jurek-f/prompt-lab-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": "jurek-f-prompt-lab-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jurek-f-prompt-lab-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jurek-f-prompt-lab-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