Server data from the Official MCP Registry
Photo to technical drawing, CAD-ready DXF and DWG, 3D models and product renders.
Photo to technical drawing, CAD-ready DXF and DWG, 3D models and product renders.
Valid MCP server (3 strong, 3 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
6 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: TECHDRAWAI_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-meltflexdevs-techdrawai": {
"env": {
"TECHDRAWAI_API_KEY": "your-techdrawai-api-key-here"
},
"args": [
"-y",
"techdrawai-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
AI agent skills for turning a photograph of a physical part into engineering documentation with TechDraw AI. Draft a dimensioned 2D technical drawing, trace it into CAD-ready DXF and DWG, reconstruct the part as a 3D mesh, or render it as a finished product shot. Works with Claude Code, Claude Desktop, Cursor, Codex, VS Code, Windsurf and anything else that loads Markdown skills or speaks MCP.
Each user authenticates with their own TechDraw AI API key, and every generation is billed to their account credits. The skills call the public TechDraw AI API directly, so there is nothing extra to install and no CAD kernel to build.
Pick one. Each method sets the skills up for your agent.
npx skills (recommended, cross-agent)npx skills add MeltFlexDevs/techdrawai-skills
gh skill install MeltFlexDevs/techdrawai-skills
Inside Claude Code:
/plugin marketplace add MeltFlexDevs/techdrawai-skills
/plugin install techdrawai@techdrawai
If you want the tools without the skills, add the MCP server directly:
claude mcp add techdrawai -- npx -y techdrawai-mcp
Configuration for Cursor, Claude Desktop, Codex, VS Code and Windsurf is on the MCP page.
Universal fallback:
git clone --depth 1 https://github.com/MeltFlexDevs/techdrawai-skills.git
cd techdrawai-skills
./setup
More options in INSTALL.md. Agent-driven install, to paste into your agent: INSTALL_FOR_AGENTS.md.
Programmatic access is part of the Studio plan. Once you are subscribed, the simplest way to sign in is the browser flow, which mints a key from your session and hands it back over loopback so you never copy or paste a secret:
npx -y techdrawai-mcp auth login
Or create one by hand at techdrawai.com/app → Settings → API keys and export it:
export TECHDRAWAI_API_KEY="tda_sk_..."
The key is shown exactly once at creation. Only its SHA-256 is stored, so nobody can recover it afterwards, including us. An account may hold five live keys and revoking one takes effect on the next request.
| Skill | Invoke | What it covers |
|---|---|---|
techdrawai-drafting | /techdrawai:drafting | Photo to dimensioned technical drawing. Drafting standard, sheet size, projection angle, drawing type, views, and the measurements that anchor the scale. |
techdrawai-cad | /techdrawai:cad | Everything downstream of the drawing: DXF and DWG at true size, 3D reconstruction, and product renders. |
| Tool | What it does | Cost |
|---|---|---|
generate_technical_drawing | Photo to a dimensioned, standards-compliant technical drawing | 3 credits |
image_to_dxf | Any image to real CAD contours as DXF, optionally DWG | Free |
render_product | Technical drawing to a photorealistic product render | 3 credits |
photo_to_3d | Photo to a textured 3D mesh, GLB plus FBX, OBJ, USDZ, STL | 3 credits |
identify_product | Name the object in a photo | Free |
check_credits | Balance, plan, and what each operation costs | Free |
Failed generations are refunded automatically, so an agent that retries a bad prompt does not quietly drain the balance.
Every tool writes its result to disk (./techdrawai-output/ unless you pass output_path) and returns the path rather than the bytes. A technical drawing is a megabyte-scale image, and pushing that through the protocol would burn the agent's context on something it usually just hands to the next tool.
You: Here is a bracket,
~/photos/bracket.jpg. It is 120 mm across. I need a DXF for the laser cutter.
[identify_product] → "steel wall bracket"
[generate_technical_drawing]
product_name: "steel wall bracket"
measurements: [{ value: "120", unit: "mm", position: "overall width" }]
standard: ISO · paper_size: A3 · drawing_type: working
→ ./techdrawai-output/drawing-2026-07-27_15-04-11.png 3 credits
[image_to_dxf] width_mm: 120
→ ./techdrawai-output/drawing-2026-07-27_15-04-11.dxf 34 contours, free
The DXF arrives at true size, so it goes straight to the cutter without rescaling. More patterns in COOKBOOK.md.
Without a real measurement the dimensions are the model's best estimate and are marked nominal. With even one, every other feature is scaled proportionally from it and the whole drawing becomes internally consistent and manufacturable. If a user has not given one, ask for it. It is the single biggest quality lever in the whole workflow.
The same package is a command-line tool when you run it with arguments instead of letting an agent speak MCP to it:
techdrawai draw -i bracket.jpg --measure 120:"overall width" --paper A3
techdrawai dxf -i drawing.png --width-mm 120 --dwg
techdrawai model3d -i bracket.jpg --detail high
Full reference at techdrawai.com/cli.
MIT. See LICENSE.
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