io.github.CloudCorpRecords/scanverdict

Official registry Other

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

What can you do with io.github.CloudCorpRecords/scanverdict?

  • read_scan — Two different AI models read a subsurface scan
  • draft_estimate — Turns a plain-English trade job into an
  • get_pricing — Current plans for both products. Free and

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @reneturcios/scanverdict
Claude Code
claude mcp add scanverdict -- npx -y @reneturcios/scanverdict@0.1.0 mcp
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "scanverdict": {
            "command": "npx",
            "args": [
                "-y",
                "@reneturcios/scanverdict@0.1.0",
                "mcp"
            ]
        }
    }
}
OCI package ghcr.io/cloudcorprecords/scanverdict:0.1.0
Claude Code
claude mcp add scanverdict -- docker run -i --rm ghcr.io/cloudcorprecords/scanverdict:0.1.0 mcp
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "scanverdict": {
            "command": "docker",
            "args": [
                "run",
                "-i",
                "--rm",
                "ghcr.io/cloudcorprecords/scanverdict:0.1.0",
                "mcp"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. scanverdict
  2. CLI
  3. MCP server
  4. Docker
  5. Development
  6. License

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

Frequently asked questions

What is io.github.CloudCorpRecords/scanverdict?

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

How do I install io.github.CloudCorpRecords/scanverdict?

It runs on your machine. In Claude Code: claude mcp add scanverdict -- npx -y @reneturcios/scanverdict@0.1.0 mcp. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.CloudCorpRecords/scanverdict need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.CloudCorpRecords/scanverdict open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.CloudCorpRecords/scanverdict?

It is published by CloudCorpRecords. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.