LLM Output Quality Monitor MCP Server

by lazymac2x Your server? Claim it

answering

LLM Output Quality Monitor is answering right now. Last checked 8 min ago. It exposes 5 tools. Last commit 17 May 2026.

Cloudflare Workers MCP server: llm-output-quality-monitor

Uptime history 48 days of history

48 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

179 ms

Response time

average over 24h

Stars

last commit 17 May 2026

Nothing serious here today

Today is the operative word: we check LLM Output Quality Monitor every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add llm-output-quality-monitor --transport http https://api.lazy-mac.com/llm-output-quality-monitor/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "llm-output-quality-monitor": {
      "url": "https://api.lazy-mac.com/llm-output-quality-monitor/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.llm-output-quality-monitor]
url = "https://api.lazy-mac.com/llm-output-quality-monitor/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "llm-output-quality-monitor": {
      "url": "https://api.lazy-mac.com/llm-output-quality-monitor/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "llm-output-quality-monitor": {
      "url": "https://api.lazy-mac.com/llm-output-quality-monitor/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

consistency

consistency_check

Check consistency across multiple LLM responses

drift

drift_detector

Detect quality drift between current and previous LLM responses

hallucination

hallucination_scorer

Pattern-based heuristic risk scoring for LLM responses (0-100). Detects linguistic signals such as contradictory assertions, unsourced claims, and uncertainty markers. Not a semantic hallucination detector.

quality

quality_validator

Validate LLM response quality based on length, format, and structure

schema

schema_enforcer

Validate JSON response against schema

Endpoints

URL	Transport	State	Latency	Checked
https://api.lazy-mac.com/llm-output-quality-monitor/mcp	streamable-http	answering	198 ms	8 min ago

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LLM Output Quality Monitor — questions

Answers built from our own checks of this server.

What can LLM Output Quality Monitor do?

It exposes 5 tools, read directly from the server on our last check. Among them: consistency_check, drift_detector, hallucination_scorer, quality_validator, schema_enforcer. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is LLM Output Quality Monitor working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 179 ms. The bar chart above shows every period we have measured.

How do I connect LLM Output Quality Monitor?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does LLM Output Quality Monitor need an API key?

No. LLM Output Quality Monitor completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is LLM Output Quality Monitor?

It answers our handshake in 179 ms on average, which is faster than 70% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is LLM Output Quality Monitor open source?

We cannot say either way: 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.