# Okareo

> Use this tool when you need to simulate, evaluate, and monitor voice agents, solving problems related to conversational AI performance and user experience. It provides inputs such as voice agent configurations and test scenarios, and outputs evaluation metrics and monitoring data. Ideal for use cases where optimizing voice agent interactions is crucial, such as customer service, virtual assistants, and language-based interfaces.

Canonical page: https://skillsregistry.net/skills/com-okareo-okareo  
JSON: https://api.skillsregistry.net/v1/skills/com-okareo-okareo

## Description

Simulation, evaluation and monitoring for voice agents.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** public-0.0.33.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.okareo%2Fokareo)
- **Repository:** <https://github.com/okareo-ai/okareo-mcp>

## Use it

MCP endpoint published by the skill: `https://tools.okareo.com/mcp`

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": "com-okareo-okareo"
    }
  }
}
```

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