# Cerebro MCP

> Use this tool when you need to build software without coding expertise, as it enables users to describe ideas in natural language and orchestrates AI agents and CLI workers via chat. It solves problems of accessibility and usability for non-technical users, allowing them to create software solutions without requiring terminal knowledge. Ideal for use cases where rapid prototyping, simplicity, and ease of use are essential.

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

## Description

Enables non-coders to build software by describing ideas in natural language, orchestrating AI agents and CLI workers via chat without needing a terminal.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **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/hronwu1f0k)
- **Repository:** <https://github.com/Synvoya/cerebro-mcp>

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

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