# Cortex RMCP

> Cortex RMCP — ai-dinglebear-cortex. Use this tool when you need to centralize and analyze logs from your homelab environment, solving issues with log management and visibility. It provides a self-hosted solution with multiple interfaces, including CLI, REST, and MCP, and utilizes SQLite and FTS for efficient data storage and querying. Ideal for homelab owners seeking to streamline log intelligence and troubleshooting.

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

## Description

Self-hosted homelab log intelligence over MCP, CLI, and REST with SQLite/FTS.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 3.11.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dinglebear%2Fcortex)
- **Repository:** <https://github.com/dinglebear-ai/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": "ai-dinglebear-cortex"
    }
  }
}
```

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