# cortex

> cortex — mrinmoyece-cortex. Use this tool when you need to orchestrate complex AI workflows, manage document ingestion and retrieval, and generate text through natural-language control. It solves problems related to multi-step task automation, knowledge retrieval, and content generation, providing a flexible and observable platform for various applications. With inputs including natural-language commands and document data, and outputs such as generated text and retrieved information, cortex is ideal for use cases requiring hybrid reasoning and automation.

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

## Description

An MCP-native agentic platform orchestrating planner/executor/critic agents over hybrid RAG with three-tier memory, budget enforcement, safety guardrails, and full observability. It exposes all capabilities as MCP tools, enabling natural-language control of document ingestion, retrieval-augmented generation, and multi-step AI workflows.

## Trust

- **Trust score (0–1):** 0.11
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rou7x1y6vw)
- **Repository:** <https://github.com/mrinmoyece/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": "mrinmoyece-cortex"
    }
  }
}
```

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