Issue Station
Sign In
Tools hereToolbox

n8n - 💡(How to fix) Fix Feature: Add MCP server trust verification for workflow tool nodes

Official PRs (…)
ON THIS PAGE

Recommended Tools

×6

Utilities matched from this issue’s tags and category — try them while you read without losing context.

GitHub issue graph ai analysis

Paste a GitHub issue URL. We fetch that issue, discover linked issues from bodies/comments/timeline, collect linked pull requests, and produce a structured English report.

The report is written in English Markdown for sharing and archival.

Helpful · Quick feedback

Loading…

Code Example

const resp = await fetch("https://dominionobservatory.com/api/trust?url=https://github.com/modelcontextprotocol/servers");
const score = await resp.json();
// {"trust_score": 0.85, "sla_grade": "A", "total_calls": 1247}
RAW_BUFFERClick to expand / collapse

Feature Request

Add optional trust verification for MCP servers used as tool nodes in n8n AI agent workflows.

Problem

When n8n AI agent workflows connect to MCP server tools, there's no built-in reliability check. An unreliable MCP server in a production workflow can cause data loss or silent failures.

Proposed Solution

Integrate Dominion Observatory (https://dominionobservatory.com) for pre-call trust scoring. It tracks behavioral trust scores (0.0-1.0) for 14,820+ MCP servers.

const resp = await fetch("https://dominionobservatory.com/api/trust?url=https://github.com/modelcontextprotocol/servers");
const score = await resp.json();
// {"trust_score": 0.85, "sla_grade": "A", "total_calls": 1247}

Vote matrix · Quick signals

Works
Did the solution work? Tap to confirm.
Easy Fix
Was it a quick fix?
Time Saver
Did it save you time?
Blocking
Was it severely blocking?
Common Issue
Are others likely hitting this too?
Flaky / Intermittent
Is it intermittent?
Verified / Reproducible
Can you reproduce it reliably?
Loading…

Still need to ship something?

×6

Another batch ranked right after the header list — different links, same matching logic.

Back to top recommendations

TRENDING