# Fast Mermaid Validator MCP

> Use this tool when you need to validate Mermaid diagrams with precise grammar parsing, supporting over 28 diagram types, to ensure accuracy and consistency in your markdown files, ZIP archives, or direct input. It solves problems related to diagram errors, inconsistencies, and performance issues, providing detailed error reporting and enterprise-grade performance. Ideal for use cases requiring comprehensive validation of complex diagrams, it accepts markdown files, ZIP archives, and direct input, and outputs detailed error reports.

Canonical page: https://skillsregistry.net/skills/ai-of-mine-fast-mermaid-validator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-of-mine-fast-mermaid-validator-mcp

## Description

Validates Mermaid diagrams with comprehensive grammar parsing supporting 28+ diagram types. Processes markdown files, ZIP archives, and direct input with detailed error reporting and enterprise-grade performance capabilities.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j8zb7huddm)
- **Repository:** <https://github.com/ai-of-mine/fast-mermaid-validator-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": "ai-of-mine-fast-mermaid-validator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-of-mine-fast-mermaid-validator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-of-mine-fast-mermaid-validator-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