How do I install TechDraw AI?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does TechDraw AI need an API key?

The publisher lists these environment variables: TECHDRAWAI_API_KEY.

What transport does TechDraw AI use?

TechDraw AI runs locally over stdio.

When was TechDraw AI last checked?

Last checked 2026-11-09. Photo or text to technical drawing, DXF and DWG, printable STL, 3D models and product renders.

TechDraw AI MCP server

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Add to Cursor Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Local command

npx -y [email protected]

Credentials from the publisher

TECHDRAWAI_API_KEY — Your TechDraw AI API key (tda_sk_...). Requires an active Studio plan. Create one at https://techdrawai.com/app?view=settings, or run `npx -y techdrawai-mcp auth login` to sign in through the browser instead.

Claude Code has no install link for a local command. Copy the command below and run it in a terminal.

shClaude Code

1TECHDRAWAI_API_KEY=<secret> claude mcp add io.github.meltflexdevs-techdrawai -- npx -y techdrawai-mcp@0.4.0

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.meltflexdevs-techdrawai": {4      "command": "npx",5      "args": [6        "-y",7        "[email protected]"8      ],9      "env": {10        "TECHDRAWAI_API_KEY": "<secret>"11      }12    }13  }14}

claude_desktop_config.json

Local · npmPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Version: 0.4.0

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

TechDraw AI Skills

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.

Install

Pick one. Each method sets the skills up for your agent.

`npx skills` (recommended, cross-agent)

npx skills add MeltFlexDevs/techdrawai-skills

GitHub CLI (v2.90+)

gh skill install MeltFlexDevs/techdrawai-skills

Claude Code marketplace

Inside Claude Code:

/plugin marketplace add MeltFlexDevs/techdrawai-skills
/plugin install techdrawai@techdrawai

MCP server only

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.

Setup script

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.

Authenticate

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.

Skills

Skill	Invoke	What it covers
`techdrawai-drafting`	`/techdrawai:drafting`	Photo or written description 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, printable STL, 3D reconstruction from a photo or a drawing, and product renders.

Tools

Tool	What it does	Cost
`generate_technical_drawing`	Photo to a dimensioned, standards-compliant technical drawing	5 credits
`text_to_technical_drawing`	A written description with sizes to a dimensioned technical drawing, no photo	5 credits
`image_to_dxf`	Any image to real CAD contours as DXF, optionally DWG	Free
`image_to_stl`	Flat artwork (logo, stencil, line drawing) extruded into a printable STL	Free
`render_product`	Technical drawing to a photorealistic product render	5 credits
`photo_to_3d`	Photo to a textured 3D mesh, GLB plus FBX, OBJ, USDZ, STL	80 credits
`drawing_to_3d`	Technical drawing to a textured 3D mesh, one call and one charge	80 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.

What it looks like in practice

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   5 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.

One measurement changes everything

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 CLI

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.

Documentation

API reference: every endpoint, request and response
CLI: every command and flag
MCP: client-by-client setup
COOKBOOK.md: worked examples
CONTRIBUTING.md

Licence

MIT. See LICENSE.

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install TechDraw AI?

Does TechDraw AI need an API key?

What transport does TechDraw AI use?

When was TechDraw AI last checked?

Documentation

TechDraw AI Skills

Install

npx skills (recommended, cross-agent)

GitHub CLI (v2.90+)

Claude Code marketplace

MCP server only

Setup script

Authenticate

Skills

Tools

What it looks like in practice

One measurement changes everything

The CLI

Documentation

Licence

`npx skills` (recommended, cross-agent)