# modelman

> modelman — bunnysayzz-modelman. Use this tool when you need to test and validate Model Context Protocol (MCP) interactions, similar to Postman but specifically designed for MCP testing, to solve integration and communication issues between models. It accepts MCP requests as input and returns responses, allowing for seamless testing and debugging. Ideal for use cases involving model integration, protocol validation, and MCP-based development, especially when working with git version control.

Canonical page: https://skillsregistry.net/skills/bunnysayzz-modelman  
JSON: https://api.skillsregistry.net/v1/skills/bunnysayzz-modelman

## Description

MCP Testing Tool - Like Postman, but for the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.02
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/bunnysayzz/modelman)

## 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": "bunnysayzz-modelman"
    }
  }
}
```

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