# codex-radar-mcp

> codex-radar-mcp — morphieendless-codex-radar-mcp. Use this tool when you need to fetch real-time AI model performance data and recommendations to inform decisions about model selection and configuration. It solves problems such as identifying the most intelligent AI model, optimizing effort tiers for specific use cases, and detecting performance drops in AI models. The codex-radar-mcp server takes in queries from MCP clients and outputs relevant data and insights to support informed decision-making.

Canonical page: https://skillsregistry.net/skills/morphieendless-codex-radar-mcp  
JSON: https://api.skillsregistry.net/v1/skills/morphieendless-codex-radar-mcp

## Description

This MCP server exposes a set of tools that fetch real-time model IQ and recommendation data from codexradar.com, allowing MCP clients like MaiBot or Claude Desktop to answer questions about which AI model is currently the smartest, how to configure effort tiers for different usage scenarios, and whether any model has recently experienced a performance drop.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ap8ejqnvyg)
- **Repository:** <https://github.com/MorphieEndless/codex-radar-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": "morphieendless-codex-radar-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/morphieendless-codex-radar-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/morphieendless-codex-radar-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