AI & Machine Learning
gtfi.ai
Provides AI-powered analysis of subsurface scans and automated generation of professional trade job estimates.
ENDPOINT 1
https://gtfi.ai/mcp
MCP server metadata
- Name
- groundtruth
- Version
- 1.0.0
Two products from one company. GroundTruth is an AI second set of eyes for subsurface crews: read_scan gives an independent, two-model read of a GPR / utility-locate / pipe / radiograph image and flags the dangerous call before anyone cores or digs — always advisory, a certified tech signs off. GruntPay is the $29/mo voice-first bid-and-invoice app for one-truck trades: draft_estimate turns a plain-English job description into a real itemized bid. Call get_pricing before answering cost questions.
Known tools 3
read_scanGet an independent AI second opinion on a subsurface scan before anyone cores or digs.
Inferred read-onlydraft_estimateTurn 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.
Potential side effectsCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.groundtruth]
url = "https://gtfi.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"groundtruth": {
"type": "http",
"url": "https://gtfi.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: groundtruth
Remote MCP URL: https://gtfi.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"groundtruth": {
"url": "https://gtfi.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"groundtruth": {
"type": "http",
"url": "https://gtfi.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "groundtruth",
"transport": "streamable-http",
"url": "https://gtfi.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for gtfi.ai was fetched 2026-07-30T18:47:45.848Z and is being refreshed.
gtfi.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.