# Okareo MCP Server

> Okareo MCP Server — okareo-ai-okareo-mcp. Use this tool when you need to integrate AI evaluation capabilities into your coding workflow, enabling management of scenarios, model registration, and simulation execution. It solves problems of manual evaluation and simulation setup, streamlining the development process for AI coding assistants. The Okareo MCP Server takes in model registrations and scenario setups as inputs and outputs evaluation results and simulation outcomes.

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

## Description

Exposes Okareo's evaluation capabilities as MCP tools, enabling AI coding assistants to manage scenarios, register models, run evaluations, and execute multi-turn simulations directly from the editor.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mgrr2j1cxk)
- **Repository:** <https://github.com/okareo-ai/okareo-mcp>

## 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": "okareo-ai-okareo-mcp"
    }
  }
}
```

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