{"schema_version":1,"snapshot_id":"bfb936f5ceae4a7427f93961201723779c3021545a3c4222395e8678314c3e55","generated_at":"2026-10-17T21:51:24.907033+00:00","notice":"Potential GTM matches from directory metadata and model triage. Discovered does not mean vendor-verified or tested. Pending records remain under review; pricing and install details require primary sources.","canonical_url":"https://gtmmcps.com/discoveries/6449725511a84241f67d","record":{"id":"6449725511a84241f67d","name":"Prompt Quality Score - PQS","aliases":["Prompt Quality Score - PQS","io.github.OnChainAIIntel/pqs-mcp-server"],"description":"PQS is the fastest way to get better output from any AI model.\n\nScore 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.\n\nThe AI input quality problem is real. PQS solves it.\n\nMCP Tools:\n- score_prompt: Free. Returns grade (A-F), score out of 80, percentile, and full 8-dimension breakdown. No API key needed.\n- optimize_prompt: $0.025 USDC. Returns a rewritten, higher-scoring version of your prompt with before/after dimens","repository_url":"https://github.com/OnChainAIIntel/pqs-mcp-server","sources":[{"source_id":"official-registry","url":"https://registry.modelcontextprotocol.io/v0.1/servers","observed_at":"2026-10-17T19:47:47.767562+00:00"},{"source_id":"smithery","url":"https://api.smithery.ai/servers","observed_at":"2026-10-17T21:40:22.481400+00:00","source_record_id":"b61235b8-82cd-41dd-96cf-7a915985f7c9","source_record_name":"onchaintel/pqs"}],"relevance_signals":["payment"],"classification":{"label":"pending","method":"not-yet-classified"},"catalog_ids":[],"verification_status":"discovered","vendor_ownership":"not-verified","execution_tested":false,"pricing_status":"not-verified","documentation_status":"not-verified"}}