# mcp-memory-layer

> mcp-memory-layer — dumkydewilde-mcp-memory-layer. Use this tool when you need to build a customizable Business Intelligence (BI) platform with multi-user correction capabilities, leveraging dbt and Large Language Models (LLMs) for data analysis and insights. It solves problems related to data inconsistencies and collaboration, providing a template for creating a robust BI system. The tool integrates with git, allowing for version control and seamless updates.

Canonical page: https://skillsregistry.net/skills/dumkydewilde-mcp-memory-layer  
JSON: https://api.skillsregistry.net/v1/skills/dumkydewilde-mcp-memory-layer

## Description

A template for building your own BI MCP with dbt, LLMs and multi-user corrections

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/dumkydewilde/mcp-memory-layer)

## 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": "dumkydewilde-mcp-memory-layer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dumkydewilde-mcp-memory-layer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dumkydewilde-mcp-memory-layer/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