# io.github.OnChainAIIntel/pqs-mcp-server

- Registry name: `io.github.OnChainAIIntel/pqs-mcp-server` · version 1.4.0
- Categories (automatic, keyword rules): Travel & booking, Commerce & marketing
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.OnChainAIIntel%2Fpqs-mcp-server
- Server page: https://mcpstation.net/s/io.github.OnChainAIIntel--pqs-mcp-server.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://promptqualityscore.com/api/mcp`

## Tools (as reported by the server, not verified)

- `score\_prompt`: Score a prompt's quality across 8 dimensions BEFORE sending it to an expensive model. Returns a 0-80 score, an A-F grade, the per-dimension breakdown \(clarity, specificity, context, constraints, output\_format, role\_definition, examples, cot\_structure\), and the weakest dimension. USE WHEN: - The user
- `optimize\_prompt`: Rewrite a prompt to score higher on the PQS rubric, AND show before/after output comparisons so the user can see the impact. Returns the optimized prompt, the original PQS score, the optimized PQS score, and side-by-side sample outputs from a frontier model using both versions. USE WHEN: - The user

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html