# brain-mcp

> Use this tool when you need to manage and store conversation history with intelligent memory consolidation. It solves problems related to data storage and retrieval in conversational AI, providing efficient memory management and support for multiple storage backends. The brain-mcp tool takes in conversation data as input and outputs a consolidated and organized memory storage, ideal for use in chatbots and virtual assistants.

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

## Description

Provides intelligent conversation memory storage using DuckDB, with support for multiple storage backends and automatic memory consolidation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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:** [Glama](https://glama.ai/mcp/servers/w1n9b9lm93)
- **Repository:** <https://github.com/yonidavidson/brain-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": "yonidavidson-brain-mcp"
    }
  }
}
```

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