# Cérebro

> Use this tool when you need to provide AI agents with searchable context and access to indexed knowledge bases. Cérebro solves the problem of information retrieval and knowledge management by indexing .md files and making them searchable via the Model Context Protocol. It takes in .md files as input and outputs searchable context to AI agents, ideal for use cases where agents require access to vast amounts of knowledge to generate accurate and informative responses.

Canonical page: https://skillsregistry.net/skills/ricardopiresqa-cerebro  
JSON: https://api.skillsregistry.net/v1/skills/ricardopiresqa-cerebro

## Description

A RAG engine and MCP server that indexes .md files to provide searchable context to AI agents via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xsg3l458nz)
- **Repository:** <https://github.com/ricardopiresqa/cerebro>

## 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": "ricardopiresqa-cerebro"
    }
  }
}
```

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