io.github.OnChainAIIntel/pqs-mcp-server

io.github.OnChainAIIntel/pqs-mcp-server · v1.4.0

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

MCPremotelocal · npmno credentialsAI & LLM

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 2 tools, protocol 2024-11-05 · checked 2026-10-17

Test & rating

B 83/100

What it does: 2 tools · 0 read, 0 write · AI & LLM, Messaging, Tasks & projects

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +10
Read/write annotations: 0
Safe test call: +8
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://promptqualityscore.com/api/mcp

Package

registry:   npm
identifier: pqs-mcp-server
version:    1.4.0
transport:  stdio

Tools

2 tools listed at last check

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 use
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

Badge

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Repository · Website