Provenancewhere it came from, and what was verified
Published to the official MCP registry by github.com/onchainaiintel, which proved it owns this namespace.
🛡 Permissions & trustwhat this server can touch before you run it
About
PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
Packages & transports
Computed from the server's own data, not a hidden formula. This measures how much you can depend on it, not how popular it is. Stars are shown separately, on purpose. How it's scored →
▸score_prompt100A
▸optimize_prompt100A
Structural, not an LLM's opinion: each check is a fact about the tool's schema, so it's reproducible. One weak tool drags the score (60% average, 40% worst). How it's scored →
Raise this grade
up to +18 on qualityOwn this server? Here's exactly what to change, biggest wins first. Every number below is a fixed point value, so you can see what each edit is worth before you make it.
Push to the repo or cut a release. Activity within the last 30 days earns the full 45.
With no reviews this sits at a neutral 11. Reviews reporting it works push it toward the full 20.
Already earned (4) ▾Already earned (4) ▴
These are structural checks, so the fixes are exact. See the full formula →
Add a badge to your README
[](https://socketcat.com/servers/io.github.OnChainAIIntel/pqs-mcp-server)Shows your live quality grade and links back here. It updates itself as the grade changes.
Reviews
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{
"mcpServers": {
"pqs_mcp_server": {
"command": "npx",
"args": [
"-y",
"pqs-mcp-server"
]
}
}
}▶ Try itlive against promptqualityscore.com
This server has a hosted endpoint, so we can connect and list its actual tools right here. Nothing runs on your machine.