# mermaid_mcp_tool

> Use this tool when you need to validate and repair Mermaid code generated by Large Language Models (LLMs) to ensure syntax accuracy and consistency with frontend parsers. It solves problems of syntax errors and inconsistencies in Mermaid diagrams, providing iterative line-level repair as input and corrected Mermaid code as output. Ideal for use when integrating LLM-generated Mermaid diagrams into frontend applications requiring precise syntax.

Canonical page: https://skillsregistry.net/skills/shangdongwei-mermaid-mcp-tool  
JSON: https://api.skillsregistry.net/v1/skills/shangdongwei-mermaid-mcp-tool

## Description

Provides Mermaid code validation and iterative line-level repair to fix syntax errors in LLM-generated Mermaid diagrams, ensuring consistency with the frontend parser.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h4h6yee1or)
- **Repository:** <https://github.com/shangdongwei/mermaid_mcp_tool>

## 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": "shangdongwei-mermaid-mcp-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shangdongwei-mermaid-mcp-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shangdongwei-mermaid-mcp-tool/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