analyze_patterns
shallowcom.pinappai/mcp · Verify this server
Server-side deterministic groupings (by selector / page / reviewer / keyword) plus heuristic suggested_clusters of change requests. Set ai_clusters="auto" (default) to also request semantic clustering via the host's MCP sampling capability — returns ai_clustering_hint for the host AI to apply inline if sampling is unsupported. Use this BEFORE drilling into individual CRs to find patterns across the dataset.
1 trials · measured 2 days ago
analyze_patterns scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.pinappai/mcp, measured 31 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote + stdio
- Credential class
- gated
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-31 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
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[](https://vouch.tools/tools/bfecdfc2-f1c2-48f2-a2bc-e2c8c6e22896)