io.github.OnChainAIIntel/pqs-mcp-server
PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http pqs-mcp-server 'https://promptqualityscore.com/api/mcp'
{
"mcpServers": {
"pqs-mcp-server": {
"type": "http",
"url": "https://promptqualityscore.com/api/mcp"
}
}
}
pqs-mcp-serverclaude mcp add pqs-mcp-server -e 'PQS_API_KEY=<your pqs_api_key>' -- npx -y pqs-mcp-server@1.4.0
{
"mcpServers": {
"pqs-mcp-server": {
"command": "npx",
"args": [
"-y",
"pqs-mcp-server@1.4.0"
],
"env": {
"PQS_API_KEY": "<your pqs_api_key>"
}
}
}
}
Variables d'environnement
PQS_API_KEYsecret Your PQS Pro API key (pqs_live_xxx) for optimize_prompt. score_prompt is free and requires no key. Subscribe at promptqualityscore.com/pricing.
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
PQS MCP Server
Score prompt quality before it reaches any AI model. An MCP server for PQS.
Score and optimize LLM prompts before they hit any model. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE.
Install
Claude Desktop (stdio)
Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"pqs": {
"command": "npx",
"args": ["-y", "pqs-mcp-server"]
}
}
}
Remote (HTTP)
Use this when your MCP client supports streamable-HTTP transport (no local npm install required):
{
"mcpServers": {
"pqs": {
"url": "https://promptqualityscore.com/api/mcp"
}
}
}
Smithery
smithery mcp add onchaintel/pqs
Tools
score_prompt (Free, no API key required)
Returns a 0-80 score, A-F grade, full 8-dimension breakdown (clarity, specificity, context, constraints, output_format, role_definition, examples, cot_structure), and the weakest dimension. Rate-limited per IP: 5/min, 10/day, 100/month.
Low- and mid-band scores also include a structured suggestion field with a message, a next_tool pointer to optimize_prompt, and a subscribe URL the consuming LLM can paraphrase back to the user.
Example output (low-band score, suggestion attached):
{
"pqs_version": "2.0",
"prompt": "analyze this wallet",
"score": 9,
"out_of": 80,
"grade": "F",
"dimensions": {
"clarity": 2,
"specificity": 1,
"context": 1,
"constraints": 1,
"output_format": 1,
"role_definition": 1,
"examples": 1,
"cot_structure": 1
},
"weakest_dimension": "specificity",
"powered_by": "PQS — promptqualityscore.com",
"suggestion": {
"message": "This prompt scored 9/80 (F) — significant room to improve. The optimize_prompt tool rewrites it and shows side-by-side outputs from a frontier model, so you can see the impact. optimize_prompt is part of PQS Pro ($19.99/mo, 1,000 calls/mo). Subscribe at https://promptqualityscore.com/pricing?utm_source=mcp&utm_medium=suggestion_v140&utm_campaign=2026-05-mcp-tools-v140.",
"next_tool": "optimize_prompt",
"subscribe_url": "https://promptqualityscore.com/pricing?utm_source=mcp&utm_medium=suggestion_v140&utm_campaign=2026-05-mcp-tools-v140"
}
}
If the per-IP rate limit is hit, the response is a structured rate_limit_exceeded payload with subscribe and account URLs.
optimize_prompt (Pro subscription required)
Rewrites a prompt to score higher and runs both versions through a frontier model so the user can see the before/after output. Returns the optimized prompt, before/after dimension scores (with totals), improvement_pct, and side-by-side sample outputs.
Pro subscription required ($19.99/mo, 1,000 calls/mo, includes batch + A/B comparison). Subscribe at promptqualityscore.com/pricing.
If the API key is missing, invalid, or on the Free tier, the tool returns a structured error pointing the user at the right URL. No silent failures, no inventing keys. Errors emitted:
api_key_required: noapi_keyargument was sentapi_key_invalid: key not recognizedsubscription_required: key is valid but Free tier (subscribe to upgrade)rate_limited: per-minute burst limit reached (Pro is rate-limited per minute, not per month) or temporary upstream capacity issueservice_unavailable: upstream 5xx
Quality Gate Pattern
Use PQS as a pre-inference quality gate:
const score = await fetch("https://promptqualityscore.com/api/score/free", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ prompt: userPrompt })
});
const { score: pqsScore } = await score.json();
if (pqsScore < 56) throw new Error("Prompt quality too low. Improve and retry.");
Grade D or below (under 56/80) means the prompt will waste inference spend.
x402 (legacy pay-per-call)
The MCP tools in this package use the SaaS API-key model. A separate x402-native pay-per-call path is available via the canonical PQS HTTP API (no API key, caller settles USDC on Base on-chain). For x402 integration, see the canonical pricing and discovery artifacts at promptqualityscore.com.
Self-hosting
Override the PQS backend URL with the PQS_BASE environment variable:
PQS_BASE=https://your-pqs-host.example.com npx pqs-mcp-server
Defaults to https://promptqualityscore.com.
Built by
OnChainIntel, @OnChainAIIntel promptqualityscore.com
Questions fréquentes
Qu'est-ce que io.github.OnChainAIIntel/pqs-mcp-server ?
PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
Comment installer io.github.OnChainAIIntel/pqs-mcp-server ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http pqs-mcp-server 'https://promptqualityscore.com/api/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.OnChainAIIntel/pqs-mcp-server ?
Oui. Il attend PQS_API_KEY, à renseigner dans sa configuration.
io.github.OnChainAIIntel/pqs-mcp-server est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient io.github.OnChainAIIntel/pqs-mcp-server ?
Il est publié par OnChainAIIntel. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.