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

Veida MCP

by hanshs474version 0.1.0i★ –iRuns on your computer
Registry nameai.veida/veida-mcp

Install

Overview

Description from the maker (original English)

Generate AI images from a prompt with no API key, using Veida's anonymous free tier.

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: Other

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).
  • The registry lists no key to fill in.

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": {
    "veida": {
      "command": "npx",
      "args": [
        "-y",
        "veida-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add veida -- npx -y veida-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "veida": {
      "command": "npx",
      "args": [
        "-y",
        "veida-mcp"
      ]
    }
  }
}

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": {
    "veida": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "veida-mcp"
      ]
    }
  }
}

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.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain veida.ai (the registry checks domain ownership)

  • … 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 Otheri

  • More stars than 0% of the other 32537 servers in this category
  • Published to the registry more recently than 64% of the other 32537 servers in this category
  • Basic checks equal to or better than 100% of the other 32537 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 Veida MCP 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.1.0) reached the registry 21 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: Spec Driven Development, Remote Desktop Commander, TF Rooms

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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TF Rooms

by tfrooms.com

Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.

Runs in the cloudUpdated today
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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.

Veida MCP

An MCP server that actually generates images, with no API key and no account.

Most image MCP servers are a wrapper around a key you have to go and buy first. This one talks to the anonymous tier of Veida — a client id in a header instead of a login — so it works the moment it is installed.

> generate a 16:9 cover image of a paper boat on a calm lake at sunrise

→ https://cdn.veida.ai/uploads/kie/image/….webp

Tools

ToolWhat it does
generate_imagePrompt → hosted image URL. Submits, polls, returns. 40–120 seconds.
list_modelsThe model shelf, which ones run signed-out, and the page for each.
browse_toolsPages worth sending a person to — editor, upscaler, background remover.
free_tier_limitsThe exact ceilings, so an agent does not build something that always fails.

Install

Claude Desktop / Claude Code
{

"mcpServers": { "veida": { "command": "npx", "args": ["-y", "veida-mcp"] } } }

Cursor / Cline / Windsurf

Same block, in that client's MCP config file. There is nothing else to set — no env, no key.

What the free tier is, measured

  • The anonymous grant is 4 credits and one image costs 4 — so the server mints a fresh client id per image rather than reusing one.
  • A ceiling of 30 credits per IP per day sits on top: roughly 7 images a day from one machine, however many ids it invents.
  • Free output is 1K and watermarked.
  • 🔴 Editing an existing image cannot run anonymously. The editing model costs 30 credits against a 4-credit grant, so an anonymous edit can never be paid for. The tool set says so rather than offering a call that always fails; for edits, sign in and use the image editor or the ChatGPT image editor.
  • There is no video on this site, so no video tool.

Signing in removes the watermark, lifts the cap and opens the rest of the shelf. The current lineup is on the models the generator offers: GPT Image 2 when the picture has to contain readable text, Nano Banana 2 for instruction following, Seedream 5.0 Lite for colour and composition, and Qwen Image 3 for typography. Pricing lists what each tier costs.

Writing prompts that work

Name the light, the material and the composition. "A product photo of a mug" gives the model nothing; "matte black ceramic mug on pale oak, soft window light from the left, shallow depth of field" gives it a picture. Worked examples live in the prompt library, and the showcase is there if you want to judge output quality before wiring anything up.

The same engine is what the ChatGPT image generator page serves in a browser — this server is the headless door to it.

Develop

npm install

npm run build node dist/index.js # speaks MCP over stdio

Links

MIT.

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