LIVE ENDPOINT
https://plumbline.lattice-sys.com/mcp/demo
Connect to this endpoint to inspect the live schema for cross_check and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT 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.prompto-plumbline]
url = "https://plumbline.lattice-sys.com/mcp/demo"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"prompto-plumbline": {
"type": "http",
"url": "https://plumbline.lattice-sys.com/mcp/demo"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: prompto-plumbline
Remote MCP URL: https://plumbline.lattice-sys.com/mcp/demo
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": {
"prompto-plumbline": {
"url": "https://plumbline.lattice-sys.com/mcp/demo"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"prompto-plumbline": {
"type": "http",
"url": "https://plumbline.lattice-sys.com/mcp/demo"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "prompto-plumbline",
"transport": "streamable-http",
"url": "https://plumbline.lattice-sys.com/mcp/demo"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
ask_prepare— BYO step 1 of 2: run the server-side trust plane for a business question (plan, SQL-verified facts, evidence retrieval, answerability gate, prompt composition) and return the composed prompt plus a single-use prepare_key (a signed handoff token; echo it back VERBATIM and in full, or use the short ask_id alias; in prose always say the ask_id, never the token).ask_result— Fetch the published verdict for an ask_prepare session (status: pending, published, or unknown).ask_submit_draft— BYO step 2 of 2: verify the draft you wrote for an ask_prepare prompt.compare_departments— Compare two departments by headcount and compensation.describe_fact_capabilities— List safe metadata for the registered fact queries available on the server-pinned dataset: IDs, labels, parameters, and result shapes, never SQL.find_payroll_anomalies— Surface payroll and deduction anomalies in the latest snapshot.get_ai_act_transparency— Return the Art.get_answer_queries— Show the SQL behind one answer you already received, addressed by its correlation_id.