# MCPGex

> Use this tool when you need to systematically develop and validate regex patterns, as it enables large language models (LLMs) to define test cases with expected matches and iteratively refine patterns until all requirements are satisfied. It solves problems of inefficient and error-prone regex development by providing a structured testing interface. This tool is ideal for use cases requiring precise text matching and extraction, with inputs of test cases and expected outputs of validated regex patterns.

Canonical page: https://skillsregistry.net/skills/patzedi-mcpgex  
JSON: https://api.skillsregistry.net/v1/skills/patzedi-mcpgex

## Description

Enables LLMs to systematically develop and validate regex patterns by defining test cases with expected matches, testing patterns against them, and iteratively refining until all requirements are satisfied.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/auagqcawfo)
- **Repository:** <https://github.com/PatzEdi/MCPGex>

## 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": "patzedi-mcpgex"
    }
  }
}
```

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