Server data from the Official MCP Registry
Score prompt quality across 8 dimensions before they reach a model. Pre-flight, not post-hoc.
Score prompt quality across 8 dimensions before they reach a model. Pre-flight, not post-hoc.
Remote endpoints: streamable-http: https://promptqualityscore.com/api/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
14 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Set these up before or after installing:
Environment variable: PQS_API_KEY
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
The world's first named AI prompt quality score — as an MCP server.
Score, optimize, and compare LLM prompts before they hit any model. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks.
Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"pqs": {
"command": "npx",
"args": ["pqs-mcp-server"]
}
}
}
smithery mcp add onchaintel/pqs
Score any prompt before it hits any model. Returns grade A-F, score out of 40, and percentile.
Example output:
{
"pqs_version": "1.0",
"prompt": "analyze this wallet",
"vertical": "crypto",
"score": 8,
"out_of": 40,
"grade": "D",
"upgrade": "Get full dimension breakdown at /api/score for $0.025 USDC via x402",
"powered_by": "PQS — pqs.onchainintel.net"
}
Score AND optimize any prompt. Returns full 8-dimension breakdown + optimized version.
Requires: PQS API key (get one free at pqs.onchainintel.net)
Compare Claude vs GPT-4o on the same prompt. Judged by a third model. Returns winner, scores, and recommendation.
Requires: PQS API key (get one free at pqs.onchainintel.net)
Specify the domain context for more accurate scoring:
software — Software engineering, code, debuggingcontent — Content creation, copywriting, social mediabusiness — Business analysis, finance, strategyeducation — Education, research, academic writingscience — Scientific research, data analysiscrypto — Crypto trading, DeFi, onchain analysisgeneral — General purpose (default)Use PQS as a pre-inference quality gate:
const score = await fetch("https://pqs.onchainintel.net/api/score/free", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ prompt: userPrompt, vertical: "software" })
});
const { score: pqsScore } = await score.json();
if (pqsScore < 28) throw new Error("Prompt quality too low — improve and retry");
Grade D or below (< 28/40) means the prompt will waste inference spend.
John / OnChainIntel — @OnChainAIIntel
pqs.onchainintel.net
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