# agent-zoo

> Use this tool when you need to simulate human-like conversations or test various agent personas in a controlled environment. The agent-zoo enables injecting custom agent personas into conversations via MCP prompts, solving problems related to conversational AI testing and development. It takes MCP prompts as input and outputs simulated conversations, ideal for use cases requiring personalized or scenario-based dialogue interactions.

Canonical page: https://skillsregistry.net/skills/jkvu626-agent-zoo  
JSON: https://api.skillsregistry.net/v1/skills/jkvu626-agent-zoo

## Description

Enables injecting agent personas into Cursor conversations via MCP prompts.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/djxx2s77ge)
- **Repository:** <https://github.com/jkvu626/agent-zoo>

## 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": "jkvu626-agent-zoo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jkvu626-agent-zoo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jkvu626-agent-zoo/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