# PictMCP

> Use this tool when you need to generate pairwise test cases for complex systems, solving problems of exponential test case growth and reducing testing time. PictMCP takes input parameters and their values, producing optimized test case combinations as output. Ideal for use in scenarios where comprehensive testing is crucial, such as software development and quality assurance.

Canonical page: https://skillsregistry.net/skills/io-github-takeyaqa-pictmcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-takeyaqa-pictmcp

## Description

Provides pairwise combinatorial testing capabilities to AI assistants.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.takeyaqa%2FPictMCP)
- **Repository:** <https://github.com/takeyaqa/PictMCP>

## 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": "io-github-takeyaqa-pictmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-takeyaqa-pictmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-takeyaqa-pictmcp/pull`

---
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