# mermAId MCP Server

> Use this tool when you need to programmatically interact with Mermaid diagrams, enabling AI agents to retrieve and modify diagrams via MCP. It solves problems related to automated diagram editing and generation, providing a seamless interface for getting and setting diagrams. Ideal for use cases requiring dynamic diagram updates, such as data visualization and workflow automation.

Canonical page: https://skillsregistry.net/skills/mozi-app-mermaid  
JSON: https://api.skillsregistry.net/v1/skills/mozi-app-mermaid

## Description

Enables AI agents to interact with a local Mermaid diagram editor via MCP, allowing them to get and set diagrams programmatically.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vgg0lhpqdx)
- **Repository:** <https://github.com/mozi-app/mermAId>

## 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": "mozi-app-mermaid"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mozi-app-mermaid` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mozi-app-mermaid/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