Prompt Quality Score - PQS
PQS is the fastest way to get better output from any AI model.
What it can do
What data it sees
Do you need an account
No: the server works without sign-in
PQS is the fastest way to get better output from any AI model.
Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and dimension breakdown across 8 quality dimensions. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc.
The AI input quality problem is real. PQS solves it.
MCP Tools:
- score_prompt: Free. Returns grade (A-F), score out of 80, percentile, and full 8-dimension breakdown. No API key needed.
- optimize_prompt: $0.025 USDC. Returns a rewritten, higher-scoring version of your prompt with before/after dimension deltas.
HTTP API (x402-native on Base):
- /api/score/free: Free. Grade, percentile, and 8-dimension breakdown. No payment required.
- /api/score: $0.025 USDC. Single score, pay-per-call.
- /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite.
- /api/score/batch: $0.25 USDC. Score multiple prompts in a single call.
- /api/preflight: $0.05 USDC. Lightweight pre-flig
Requires a local install: run the server on your machine, then point your client at it.
How to connect
How to connect Prompt Quality Score - PQS to Claude
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
This server runs locally: it is wired up through the client config, and the project documentation carries the steps.
How to connect Prompt Quality Score - PQS to ChatGPT
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
This server runs locally: it is wired up through the client config, and the project documentation carries the steps.
How to connect Prompt Quality Score - PQS to Cursor
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
This server runs locally: it is wired up through the client config, and the project documentation carries the steps.
Tools not fetched yet: the server requires sign-in; the list appears after a manual check.