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Scanverdict

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/scanverdict

Install

Overview

Description from the maker (original English)

Local stdio bridge to GroundTruth scan reads, bid drafts and pricing.

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": {
    "scanverdict": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/scanverdict",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add scanverdict -- npx -y @reneturcios/scanverdict mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "scanverdict": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/scanverdict",
        "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": {
    "scanverdict": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/scanverdict",
        "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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 Otheri

  • More stars than 0% of the other 32464 servers in this category
  • Published to the registry more recently than 88% of the other 32464 servers in this category
  • Basic checks equal to or better than 100% of the other 32464 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 Scanverdict 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 4 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, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, yontu

Alternatives

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Install

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.

scanverdict

Would you core that slab on one AI's say-so? scanverdict is a local stdio bridge to the hosted GroundTruth MCP service, which gives subsurface scanning crews a second set of eyes: two different AI models read a GPR, locate, pipe, or X-ray scan independently — the first interprets, the second is prompted to refute it — plus a voice-first bid builder for the trades and a pricing lookup.

Safety first: a read_scan result is advisory only. It is never a clearance to cut, core, or dig, and a certified technician must review and sign off before any coring or excavation. Disagreement between the two reads only ever raises a hazard's severity; it never quietly clears one.

The hosted endpoint is https://gtfi.ai/mcp (no authentication). This package runs locally as a stdio MCP server and forwards each tool call to that endpoint as JSON-RPC. Point it elsewhere with the GROUNDTRUTH_MCP_URL environment variable.

Documented upstream limits: read_scan runs two vision models per call and is limited to 2 per caller per day (with a global daily ceiling); draft_estimate allows 5 per hour and 20 per day per caller. Nothing is charged through the API.

CLI

npx @reneturcios/scanverdict read-scan https://example.com/scan.jpg --discipline gpr --field-note "NW corner"

npx @reneturcios/scanverdict draft-estimate "Replaced the panel, 85 feet of conduit, 8 can lights, 16 hours" --trade electrical npx @reneturcios/scanverdict pricing npx @reneturcios/scanverdict --version

Output is the upstream result as JSON. Exit codes: 0 on success, 1 on a runtime error (including an upstream failure), 2 on a usage error.

MCP server

npx -y @reneturcios/scanverdict mcp

MCP client config:

{

"mcpServers": { "scanverdict": { "command": "npx", "args": ["-y", "@reneturcios/scanverdict", "mcp"] } } }

Tools
  • read_scan — Two different AI models read a subsurface scan independently: the first interprets, the second is prompted to refute it. Advisory only; a certified technician must review and sign off before any coring or excavation.
  • image_url (string, required) — public https link to a JPEG or PNG, max 8 MB
  • discipline (string, optional) — one of gpr, locate, pipe, xray, milestone; default gpr
  • field_note (string, optional) — what the tech said on site; context only, it can never clear a hazard the image shows
  • draft_estimate — Turns a plain-English trade job into an itemized bid at realistic US market prices.
  • job_description (string, required) — the job in plain English
  • trade (string, optional) — one of electrical, plumbing, hvac, general
  • get_pricing — Current plans for both products. Free and unlimited. Takes no arguments.

Docker

docker run -i ghcr.io/cloudcorprecords/scanverdict

docker run --rm ghcr.io/cloudcorprecords/scanverdict pricing

Development

npm install

npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch only, no network) npm run dev # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

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