# Cortex

> Use this tool when you need to monitor and optimize neural network training in real time, as it provides anomaly detection and guarded interventions to improve model performance. Cortex takes in neural network training data and outputs real-time performance metrics and intervention recommendations. Ideal for use cases where timely model tuning is critical, such as large-scale deep learning projects or applications requiring high model accuracy.

Canonical page: https://skillsregistry.net/skills/larkooo-cortex  
JSON: https://api.skillsregistry.net/v1/skills/larkooo-cortex

## Description

MCP server that lets AI agents monitor and tune neural network training in real time, with anomaly detection and guarded interventions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/zqbo8y623d)
- **Repository:** <https://github.com/Larkooo/cortex>

## 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": "larkooo-cortex"
    }
  }
}
```

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