# brainattic

> Use this tool when you need to manage and control the knowledge base of your AI systems, enabling secure and compliant reading and writing of data under your customized rules, with hosting in the EU and communication over MCP. It solves problems related to AI data management, security, and regulatory compliance. Ideal for use cases requiring transparent and governed AI knowledge bases.

Canonical page: https://skillsregistry.net/skills/ai-brainattic-knowledge-base  
JSON: https://api.skillsregistry.net/v1/skills/ai-brainattic-knowledge-base

## Description

The knowledge base your AI reads and writes, under your rules — over MCP, EU-hosted.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.brainattic%2Fknowledge-base)

## Use it

MCP endpoint published by the skill: `https://app.brainattic.ai/api/mcp`

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-brainattic-knowledge-base"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-brainattic-knowledge-base` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-brainattic-knowledge-base/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