io.github.OnChainAIIntel/pqs-mcp-server · v1.4.0 · location-and-travel
io.github.OnChainAIIntel/pqs-mcp-server is healthy: it completed an MCP handshake in 4137 ms and exposes 2 tools. It scores 58/100.
PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
Endpoint: https://promptqualityscore.com/api/mcp (streamable-http)
Repository · Website · JSON · Add to my inventory
| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 3 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-15T02:45:59.761Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T02:05:48.501Z | Healthy | 4137 |
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 |