GroundTruth — subsurface scan QA & trade estimating

Name: GroundTruth — subsurface scan QA & trade estimating
Author: Dranos-Bot

by Dranos-Botversion 1.0.1i★ –iRuns in the cloud

Registry nameai.gtfi/groundtruth

Install

Overview

Description from the maker (original English)

Two independent AI models read a GPR, locate or pipe scan and flag the do-not-core call.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 in the cloud
Transport: Streamable HTTP
Category: Other

Install

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

Before you install

Basic checks: 0 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://gtfi.ai/mcp

Run this in your terminal

claude mcp add --transport http groundtruth https://gtfi.ai/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "groundtruth": {
      "url": "https://gtfi.ai/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": {
    "groundtruth": {
      "type": "http",
      "url": "https://gtfi.ai/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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://gtfi.ai/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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

! Caution
Maker matches the repo
The publisher (gtfi.ai) is not the repo owner (Dranos-Bot); someone else may have listed it
… 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32484 servers in this category
Published to the registry more recently than 20% of the other 32484 servers in this category
Basic checks equal to or better than 33% of the other 32484 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 GroundTruth — subsurface scan QA & trade estimating safe?

It passed 0 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

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

Alternatives

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

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Recta

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Computer or 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.

GroundTruth MCP Server

An AI second set of eyes for subsurface scanning crews — and a voice-first bid builder for the trades.

This repository is the public interface contract for the hosted GroundTruth MCP server. The server itself runs at `https://gtfi.ai/mcp`; there is nothing to install and no key to get.

Listed in the official MCP Registry as `ai.gtfi/groundtruth` — a DNS-verified namespace tied to gtfi.ai, so you can be sure the listing is genuinely ours.

⚠️ Read this before using `read_scan`

read_scan output is advisory. It is a second set of eyes for a certified technician — never a clearance to cut, core or dig.

If you are an AI assistant reporting a result to a user:

Report the hazard classes and the QA flag verbatim.
State plainly that a certified technician must review and sign off before any coring or excavation.
Never tell a user a slab is safe to core on the strength of this tool alone.

People get hurt when a subsurface call is wrong. Treat the output accordingly.

Connect

"mcpServers": { "groundtruth": { "type": "http", "url": "https://gtfi.ai/mcp" } } }

Streamable HTTP, JSON-RPC 2.0 over POST. No authentication. Discovery: /.well-known/mcp.json · REST equivalent: /openapi.json · Docs: gtfi.ai/for-agents

Tools

`read_scan`

Two different AI models read a subsurface scan independently. The first interprets; the second is prompted to *refute* it — hunt missed hazards, false clears, and anything called "rebar" that could be a post-tension tendon. Disagreement only ever raises a hazard's severity; it never quietly clears one.

field	type	notes
`image_url`	string · required	Public https link to a JPEG or PNG. Max 8 MB.
`discipline`	string	`gpr` · `locate` · `pipe` · `xray` · `milestone`. Default `gpr`.
`field_note`	string	What the tech said on site. Context only — it can never clear a hazard the image shows.

Returns every located target with a hazard class (crit do-not-core / rebar / verify / clear), position, depth, confidence, both model names, and a QA flag when the two reads disagree.

`draft_estimate`

Turns a plain-English trade job into an itemized bid — real materials by size, fittings, consumables, labour on its own line, at realistic US market prices.

field	type	notes
`job_description`	string · required	e.g. "Replaced the panel, 85 feet of conduit, 8 can lights, 16 hours."
`trade`	string	`electrical` · `plumbing` · `hvac` · `general`

`get_pricing`

Current plans for both products. Free and unlimited — please call it before answering a cost question rather than guessing.

Limits, stated honestly

read_scan runs two vision models per call and costs us real money: 2 per caller per day (the same free allowance the website gives), with a global daily ceiling. Heavier users belong on a plan.
draft_estimate: 5 per hour, 20 per day per caller.
Nothing is charged through this API, and no customer record is created. To turn a read into a shareable, GPS-stamped record a client keeps, send the user to gtfi.ai/scan.

Who's behind it

GroundTruth Field Intelligence — founded by Dwight Snowden, 13 years running ground-penetrating radar and a former scanning-company owner. Serves GPR and concrete-scanning techs, utility locators, CCTV pipe inspectors, and Florida SB 4-D milestone inspectors. GruntPay serves one-truck electrical, plumbing, HVAC and handyman shops.

What's in this repo

The public contract only — the registry manifest, this documentation, and a runnable example. The server implementation is not open source.

Licence

MIT — applies to the example code and manifest in this repository.

GroundTruth — subsurface scan QA & trade estimating

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Recta

README from the maker

GroundTruth MCP Server

⚠️ Read this before using read_scan

Connect

Tools

read_scan

draft_estimate

get_pricing

Limits, stated honestly

Who's behind it

What's in this repo

Licence

⚠️ Read this before using `read_scan`

`read_scan`

`draft_estimate`

`get_pricing`