# Cerebro MCP

> Use this tool when you need to maintain a persistent understanding of code projects across multiple interactions, reducing the need for repeated analysis and minimizing token usage. It solves problems of knowledge retention and efficient code navigation by caching project structures, summaries, and decisions in a SQLite database. The Cerebro MCP tool accepts code project data as input and provides outputs such as project structure queries, code search results, and recorded insights.

Canonical page: https://skillsregistry.net/skills/marcodavidd020-cerebro-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marcodavidd020-cerebro-mcp

## Description

Enables AI assistants to maintain persistent understanding of code projects across chat sessions via a SQLite brain that caches structural maps, summaries, and decisions. Provides tools for querying project structure, searching code, and recording insights to reduce token usage and avoid re-analysis.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mwuhwomc4z)
- **Repository:** <https://github.com/marcodavidd020/cerebro-code-memory>

## 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": "marcodavidd020-cerebro-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcodavidd020-cerebro-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcodavidd020-cerebro-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