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PopNx MCPMCP servers for people who use AI · explained in plain words

TechDraw AI

by MeltFlexDevsversion 0.4.0i★ –iRuns on your computer
Registry nameio.github.MeltFlexDevs/techdrawai

Install

Overview

Description from the maker (original English)

Photo or text to technical drawing, DXF and DWG, printable STL, 3D models and product renders.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio
  • You need to fill in: TECHDRAWAI_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: TECHDRAWAI_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "techdrawai": {
      "command": "npx",
      "args": [
        "-y",
        "techdrawai-mcp"
      ],
      "env": {
        "TECHDRAWAI_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add techdrawai --env TECHDRAWAI_API_KEY=your-value -- npx -y techdrawai-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "techdrawai": {
      "command": "npx",
      "args": [
        "-y",
        "techdrawai-mcp"
      ],
      "env": {
        "TECHDRAWAI_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "techdrawai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "techdrawai-mcp"
      ],
      "env": {
        "TECHDRAWAI_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • TECHDRAWAI_API_KEY secret required env
    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…

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account MeltFlexDevs, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2164 servers in this category
  • Published to the registry more recently than 55% of the other 2164 servers in this category
  • Basic checks equal to or better than 100% of the other 2164 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is TechDraw AI safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TECHDRAWAI_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 24 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 16,165MITUpdated 5 months ago
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Claude Real Video

by HUANGCHIHHUNGLeo

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Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

One photograph, three outputs: a dimensioned drawing, CAD geometry, and a 3D model.

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](https://techdrawai.com/app?view=settings) → 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

SkillInvokeWhat it covers
techdrawai-drafting/techdrawai:draftingPhoto 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:cadEverything downstream of the drawing: DXF and DWG at true size, printable STL, 3D reconstruction from a photo or a drawing, and product renders.

Tools

ToolWhat it doesCost
generate_technical_drawingPhoto to a dimensioned, standards-compliant technical drawing5 credits
text_to_technical_drawingA written description with sizes to a dimensioned technical drawing, no photo5 credits
image_to_dxfAny image to real CAD contours as DXF, optionally DWGFree
image_to_stlFlat artwork (logo, stencil, line drawing) extruded into a printable STLFree
render_productTechnical drawing to a photorealistic product render5 credits
photo_to_3dPhoto to a textured 3D mesh, GLB plus FBX, OBJ, USDZ, STL80 credits
drawing_to_3dTechnical drawing to a textured 3D mesh, one call and one charge80 credits
identify_productName the object in a photoFree
check_creditsBalance, plan, and what each operation costsFree

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.

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