Index / MCP servers / Plumbline — a trust layer for LLM answers

Plumbline — a trust layer for LLM answers MCP server

Plumbline — a trust layer for LLM answers is a remote MCP server that gives an AI agent 18 tools, among them ask_prepare, ask_result, ask_submit_draft. It answers at https://plumbline.lattice-sys.com/mcp/demo over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.

Status
Answering
Tools
18
Official
yes, served from lattice-sys.com
Reliability
10 of 10 checks
Response time
536 ms
Transport
streamable HTTP
Last checked
18 October 2026

Every figure re-checked against SQL-computed facts; unsupported questions refused with the reason.

Description as the publisher wrote it.

The 18 tools Plumbline — a trust layer for LLM answers offers

ToolWhat it does
ask_prepareBYO 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 t
Inputs: history, original_question, question
ask_resultFetch the published verdict for an ask_prepare session (status: pending, published, or unknown). This is the app panel's polling surface, so the verified answer renders inside the panel that prepared the question. As the connected model you
Inputs: include_prompt, prepare_key
ask_submit_draftBYO step 2 of 2: verify the draft you wrote for an ask_prepare prompt. The server runs the SAME post-answer guards the strict path uses (facts presence, tagged claims, concept binding, earner-name grounding) against its own SQL facts and pu
Inputs: decline_reason, model, prepare_key, raw_answer
compare_departmentsCompare two departments by headcount and compensation. NOTE: internal drafting is disabled on this deployment. If your client supports MCP sampling, this tool asks YOUR model to draft in the same call (verified server-side); otherwise it re
Inputs: a, b
cross_checkCorroborate a figure you obtained (e.g. from run_sql) against the verified fact store: it re-derives the named value_key from the same SQL the verified pipeline uses and compares. AGREE lifts an otherwise-unverified session to 'corroborated
Inputs: value, value_key
describe_fact_capabilitiesList safe metadata for the registered fact queries available on the server-pinned dataset: IDs, labels, parameters, and result shapes, never SQL. Use this when a question appears relevant but a selected route produced no facts; a route miss
find_payroll_anomaliesSurface payroll and deduction anomalies in the latest snapshot. NOTE: internal drafting is disabled on this deployment. If your client supports MCP sampling, this tool asks YOUR model to draft in the same call (verified server-side); otherw
get_ai_act_transparencyReturn the Art. 13 transparency descriptor: intended purpose, capabilities, limitations, human oversight, logging mechanism, and article mapping.
get_answer_queriesShow the SQL behind one answer you already received, addressed by its correlation_id. Returns only the recorded fact queries (id, version, label, SQL, parameters, result schema, dataset version) for that answer: no rows, no evidence text, n
Inputs: correlation_id
get_evidence_documentShow ONE retrieved evidence document behind an answer you already received, addressed by that answer's correlation_id plus a document_id from its evidence_documents references. Returns the full stored document (title, body, metadata, embedd
Inputs: correlation_id, document_id
get_manager_chainReturn the management/reporting chain for an employee. NOTE: internal drafting is disabled on this deployment. If your client supports MCP sampling, this tool asks YOUR model to draft in the same call (verified server-side); otherwise it re
Inputs: employee
query_factExecute a registered, versioned read-only fact query against the server-pinned dataset. Provide query_id and version only: SQL is approved by the domain pack, never caller-supplied. Returns normalized rows plus a reproducible trust receipt
Inputs: parameters, query_id, version
run_codeRun YOUR OWN JavaScript in the in-tenant coderunner sandbox with the read-only, snapshot-scoped plumb.query() SDK. No filesystem, environment, or general network access. Read plumbline://sandbox-api.d.ts before writing code. The raw-SQL ser
Inputs: acknowledge_unverified, code, concepts
run_sqlRun YOUR OWN single read-only SELECT/WITH over the virtual snapshot_* relations. The query is statically verified against an allowlist, rewritten to the active snapshot, and run read-only. This BYPASSES the planner, grounding gate, and answ
Inputs: acknowledge_unverified, concepts, sql
search_docsSearch Plumbline's own product and architecture documentation (how the verification, refusal, and trust layer itself works). Returns ranked, citable doc passages; does NOT touch employment data, and returns an empty result set honestly when
Inputs: limit, query
search_employeeSearch the employment fact store for a person and return a grounded, verified answer. NOTE: internal drafting is disabled on this deployment. If your client supports MCP sampling, this tool asks YOUR model to draft in the same call (verifie
Inputs: query
summarize_benefitsSummarize benefit enrollments, optionally scoped (e.g. a department or plan). NOTE: internal drafting is disabled on this deployment. If your client supports MCP sampling, this tool asks YOUR model to draft in the same call (verified server
Inputs: scope
trust_finalizeReturn the session's graded trust verdict: the tier (verified / registered-query / generated-sql / corroborated / unverified / conflict / refused), which trusted steps were skipped across the session, the deterministic confidence (k of n fi

Add Plumbline — a trust layer for LLM answers to your AI client

Every block below points at https://plumbline.lattice-sys.com/mcp/demo. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http plumbline-a-trust-layer-for-llm https://plumbline.lattice-sys.com/mcp/demo
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "plumbline-a-trust-layer-for-llm": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://plumbline.lattice-sys.com/mcp/demo"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "plumbline-a-trust-layer-for-llm": {
      "url": "https://plumbline.lattice-sys.com/mcp/demo"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "plumbline-a-trust-layer-for-llm": {
      "type": "http",
      "url": "https://plumbline.lattice-sys.com/mcp/demo"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "plumbline-a-trust-layer-for-llm": {
      "url": "https://plumbline.lattice-sys.com/mcp/demo"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "plumbline-a-trust-layer-for-llm": {
      "serverUrl": "https://plumbline.lattice-sys.com/mcp/demo"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "plumbline-a-trust-layer-for-llm": {
      "url": "https://plumbline.lattice-sys.com/mcp/demo"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: Plumbline — a trust layer for LLM answers
version: 0.0.1
schema: v1
mcpServers:
  - name: Plumbline — a trust layer for LLM answers
    type: streamable-http
    url: https://plumbline.lattice-sys.com/mcp/demo
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "plumbline-a-trust-layer-for-llm": {
      "httpUrl": "https://plumbline.lattice-sys.com/mcp/demo"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "plumbline-a-trust-layer-for-llm": {
      "type": "http",
      "url": "https://plumbline.lattice-sys.com/mcp/demo"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "plumbline-a-trust-layer-for-llm": {
      "url": "https://plumbline.lattice-sys.com/mcp/demo"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fplumbline.lattice-sys.com%2Fmcp%2Fdemo&type=streamable_http&id=plumbline-a-trust-layer-for-llm&name=Plumbline%20%E2%80%94%20a%20trust%20layer%20for%20LLM%20answers

Is Plumbline — a trust layer for LLM answers up right now?

It answered our last check on 18 October 2026 in 536 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to Plumbline — a trust layer for LLM answers

Questions about Plumbline — a trust layer for LLM answers

Is there an official Plumbline — a trust layer for LLM answers MCP server?

Yes. It is published by lattice-sys.com and served from plumbline.lattice-sys.com, the vendor's own domain: https://plumbline.lattice-sys.com/mcp/demo.

How many tools does Plumbline — a trust layer for LLM answers have?

18, as returned by the server's own tools/list on 31 August 2026: ask_prepare, ask_result, ask_submit_draft, compare_departments, cross_check, describe_fact_capabilities, find_payroll_anomalies, get_ai_act_transparency, and 10 more.

Is Plumbline — a trust layer for LLM answers down?

It answered our last check on 18 October 2026 in 536 ms. Over 10 checks since 5 September 2026 it answered 10.

How do I add Plumbline — a trust layer for LLM answers to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://plumbline.lattice-sys.com/mcp/demo. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Plumbline — a trust layer for LLM answers need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: com.lattice-sys.plumbline. Endpoint host: plumbline.lattice-sys.com. ARD identifier: urn:air:com.lattice-sys.plumbline:mcp:mcp. First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.