# AI-ERD

> Use this tool when you need to design and manage database schemas efficiently, as it solves problems related to data modeling and database organization by providing a real-time canvas and DBML support, accepting database requirements as input and generating visual ERD diagrams as output. It is ideal for database administrators, developers, and data architects who need to create, edit, and visualize database schemas. Use AI-ERD to streamline your database design process and improve collaboration.

Canonical page: https://skillsregistry.net/skills/com-ai-erd-ai-erd  
JSON: https://api.skillsregistry.net/v1/skills/com-ai-erd-ai-erd

## Description

AI-powered ERD design tool. Create and manage database schemas using DBML with real-time canvas.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

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

## Use it

MCP endpoint published by the skill: `https://ai-erd.com/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": "com-ai-erd-ai-erd"
    }
  }
}
```

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