io.github.OnChainAIIntel/pqs-mcp-server

MCPcommunity
v1.4.0io.github.OnChainAIIntelUnknownUpdated 1mo agonpmGitHub

PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.

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. Add to your config (): Use this when your MCP client supports streamable-HTTP transport (no local npm install required): Returns a 0-80 score, A-F grade, full 8-dimension breakdown (clarity, specificity, context,…

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1mo agoLast update
Package
Authorio.github.OnChainAIIntel
LicenseUnknown
Version1.4.0
Sourcemcp-registry
npmpqs-mcp-server
GitHubOnChainAIIntel/pqs-mcp-server
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface2 tools · none privileged
Security scan✓ Cleanv1.4.0 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

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. Add to your config (): Use this when your MCP client supports streamable-HTTP transport (no local npm install required): Returns a 0-80 score, A-F grade, full 8-dimension breakdown (clarity, specificity, context, constraints, outputformat, roledefinition, examples, cot_structure), and the weakest dimension.…

Keywords
mcp