# antigravity-drawio-mcp

> antigravity-drawio-mcp — s-sujan-s-antigravity-drawio-mcp. Use this tool when you need to programmatically create, parse, render, and validate Draw.io diagrams, enabling AI assistants to generate and manipulate visual representations of complex systems and processes. It solves problems related to automated diagram creation, validation, and rendering, and accepts inputs such as diagram data and configuration options, producing output diagrams and validation results. Ideal for use cases where automated visual representation and validation of system architectures, networks, and workflows are required.

Canonical page: https://skillsregistry.net/skills/s-sujan-s-antigravity-drawio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/s-sujan-s-antigravity-drawio-mcp

## Description

MCP server that enables AI assistants to create, parse, render, and validate Draw.io diagrams programmatically.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hbxj2eh5ks)
- **Repository:** <https://github.com/S-SUJAN-S/antigravity-drawio-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": "s-sujan-s-antigravity-drawio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/s-sujan-s-antigravity-drawio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/s-sujan-s-antigravity-drawio-mcp/pull`

---
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
