# mcp-brain

> Use this tool when you need to store and manage persistent knowledge graphs across multiple installations, enabling shared memory and concurrent access. It solves problems of data fragmentation and inconsistency by providing a unified cognitive memory system. The mcp-brain tool takes in knowledge graph data as input and outputs a shared, accessible memory repository, ideal for use cases requiring collaborative and concurrent data access.

Canonical page: https://skillsregistry.net/skills/touristshaun-mcp-brain  
JSON: https://api.skillsregistry.net/v1/skills/touristshaun-mcp-brain

## Description

A cognitive memory system for persistent knowledge graph storage across multiple Claude installations using Supabase, enabling shared memory and concurrent access.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oagt7mi7ie)
- **Repository:** <https://github.com/TouristShaun/mcp-brain>

## 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": "touristshaun-mcp-brain"
    }
  }
}
```

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

---
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