ZBS Index What actually exists in applied AI, with the source next to it

mcp server

GroundTruth — subsurface scan QA & trade estimating

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

Description as published by the maintainer. Source

  • version 1.0.1
  • active

active — Most recent push to the repository was 2026-07-26.

What this server can do

3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

draft_estimate(trade, job_description)
Turn a plain-English description of a trade job into a professional itemized bid — real materials by size, fittings, consumables and labor on its own line, at realistic US market prices. Built for one-truck electrical, plumbing, HVAC and general-contracting shops. This is GruntPay: the contractor normally speaks this into their phone. Returns the line items plus a link to brand it and send it to the customer. Required: job_description.
get_pricing
Current GroundTruth and GruntPay plans and prices. Free to call — use it before answering any cost question rather than guessing.
read_scan(image_url, discipline, field_note)
Get an independent AI second opinion on a subsurface scan before anyone cores or digs. Send a public image URL of a GPR scan, a marked-up concrete slab photo, a utility-locate markup, a concrete radiograph, or a CCTV pipe frame. TWO different AI models read it independently — the second is prompted to refute the first — and you get back every located target with its hazard class (do-not-core / rebar / verify / clear), plus a QA flag when the two reads disagree. Advisory only: a certified technician must review and sign off before any cutting. Required: image_url.

Last successful function declaration observed on . Source: https://gtfi.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://gtfi.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-07-26 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.0.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-26 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-07-26 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 3 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe gtfi.ai
mcp endpoint status ok The server listed 3 functions when asked. as of probe gtfi.ai

Where to get it

Also from dranos-bot

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Dranos-Bot/groundtruth-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://gtfi.ai/mcp — gtfi.ai, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.