# ai.butlerbrain/mcp

> Use this tool when you need to retain information across conversations with AI assistants, enabling seamless recall of previously saved data from various clients like Claude or ChatGPT. It solves the problem of knowledge loss between interactions, providing a persistent memory for AI-driven applications. With simple save and recall functionality, it integrates with multiple AI clients, making it ideal for use cases requiring consistent information retention.

Canonical page: https://skillsregistry.net/skills/ai-butlerbrain-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-butlerbrain-mcp

## Description

Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

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

## Use it

MCP endpoint published by the skill: `https://api.butlerbrain.ai/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-butlerbrain-mcp"
    }
  }
}
```

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