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.

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⚠️ 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.

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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.