MCP.Market

LiveCheck AI MCP server

online · 100% uptime
by qualityclouds.com·com.qualityclouds/mcp-server-qualityclouds·v1.0.2·4 stars

Secure MCP runtime server for scanning and autofixing code issues

A93/100grade A
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Safety scan
A93/100

full report

Adoption
Growing

4 stars

Reviews

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If you have run it, two minutes of your experience saves the next person an afternoon.

LiveCheck AI tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 267ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 63 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 93/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How LiveCheck AI compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
93/100
higher than 96% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
80 ms
faster than 88% of 30,031 servers
GitHub stars
4
more than 82% of 28,688 servers

Install LiveCheck AI in Claude Code, Cursor or VS Code

claude mcp add --transport http mcp-server-qualityclouds https://mcp.qualityclouds.com/mcp
Add to Cursor

What the publisher says

From the LiveCheck AI repository's README, as published. We do not edit it. Read it on GitHub

Quality Clouds

AI Code Governance for enterprise platforms and for any Git repository. This repository is the index of everything Quality Clouds publishes on GitHub.

What we do

Quality Clouds turns an organization's governance, security, and quality standards into machine-readable rules, then applies those rules where code is written and before it reaches production. Human-written code and AI-generated code go through the same rules.

We have been doing this since 2017 on enterprise SaaS platforms, where a bad change is expensive and hard to reverse. That rule library and the scan data behind it are what the products run on.

Two product lines, two different problems.

Norma governs any Git repository, in any stack. It connects to Cursor, Claude Code, Lovable, Replit, and other MCP clients, so the rules for your stack are in the model's context while it generates, and it gives the repository a Production-Ready Score across security, performance, scalability, manageability, maintainability, and architecture. The score is a diagnostic, not a gate. Permanent free tier.

Quality Clouds for ServiceNow, Salesforce, Microsoft Dynamics 365, and Adobe governs the platform itself: Full Scan for a complete instance audit, LivecheckAI for real-time validation in the editor, and Quality Gates in CI to stop non-compliant changes.

Start here

Everything we publish

Install and run

Data and research

Community and examples

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

LiveCheck AI: common questions

Is LiveCheck AI MCP server safe?
Yes, by our scan: it is graded A (93/100). Read the LiveCheck AI safety report
How do I install LiveCheck AI?
It runs remotely at mcp.qualityclouds.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does LiveCheck AI need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is LiveCheck AI maintained?
The last commit was 97 days ago (2026-07-30). The latest release is v1.0.2.
Is LiveCheck AI up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does LiveCheck AI compare with other MCP servers?
safety score 93/100 (higher than 96% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 80 ms (faster than 88% of 30,031 servers). Full comparison.