# openbrain-mcp

> openbrain-mcp — crack-kitty-openbrain-mcp. Use this tool when you need to create a self-hosted AI memory layer with advanced features like typed memory tables and hybrid search. It solves problems related to data storage and retrieval for AI applications, particularly those using Onramp and MCP clients. The openbrain-mcp tool accepts input from MCP clients and outputs stored data, making it ideal for use cases requiring secure and efficient data management in AI systems.

Canonical page: https://skillsregistry.net/skills/crack-kitty-openbrain-mcp  
JSON: https://api.skillsregistry.net/v1/skills/crack-kitty-openbrain-mcp

## Description

Self-hosted AI memory layer (MCP server). Typed memory tables, hybrid search, session handoff. For Onramp + any MCP client.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/crack-kitty/openbrain-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": "crack-kitty-openbrain-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crack-kitty-openbrain-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crack-kitty-openbrain-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