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1 month ago
glama

PQS - Prompt Quality Score

A remote MCP server exposing 3 tools via Model Context Protocol: score_prompt (free, grades any LLM prompt A-F on 0-40 scale), optimize_prompt (returns optimized prompt + dimension breakdown, $0.025 USDC), and compare_models (Claude vs GPT-4o head-to-head, $1.25 USDC). Remote HTTP server at /api/mcp.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configPQS_BASEOverride the PQS backend URL with the environment variable:
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/onchainaiintel-pqs-mcp-server-14m7d4)](https://m8ven.ai/mcp/onchainaiintel-pqs-mcp-server-14m7d4)
commit: 70914c0dd1934fe015d9efaff4f573abfcdc3419
code hash: d775229c5ff248532ef4375080b6090b3bb09543b5ea54adbc1eb08baa7c53e5
verified: 6/13/2026, 10:48:51 AM
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