MCP ServerScored via MCP protocol probing: initialize handshake, tools/list conformance, and ping + tool invocation performance.
Discovery Engine
Discovery Engine is not another AI data analyst that writes pandas or SQL for you. Discovery Engine finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and checked for novelty against academic literature with citations. This is a computational pipeline, not prompt engineering over data. You cannot replicate what it does by writing pandas code or asking an LLM to look at a CSV. It finds structure that hypothesis-driven analysis misses, because it doesn't start with hypotheses.
47/100
Operational Score
Score Breakdown
Availability27/30
Conformance10/30
Performance10/40
Key Metrics
Uptime 30d
99.3%
P95 Latency
288.7ms
Conformance
Fail
Trend
Stable
What's Being Tested
Availability
HTTP health check to the service endpoint
Responded with HTTP 401 in 177ms
ConformanceNot tested
MCP initialize handshake + tools/list
Performance
MCP ping + zero-arg tool invocation benchmarking
P95 latency: 288ms, task completion: 0%
Recent Probe Results
| Timestamp | Status | Latency | Conformance |
|---|---|---|---|
| Apr 2, 2026 | success | 177.7ms | Pass |
| Apr 2, 2026 | success | 172.9ms | Pass |
| Apr 2, 2026 | success | 189.1ms | Pass |
| Apr 2, 2026 | success | 178.7ms | Pass |
| Apr 2, 2026 | success | 165.7ms | Pass |
| Apr 2, 2026 | success | 178.4ms | Pass |
| Apr 2, 2026 | success | 150.8ms | Pass |
| Apr 2, 2026 | success | 197.7ms | Pass |
| Apr 2, 2026 | success | 282ms | Pass |
| Apr 2, 2026 | success | 176.5ms | Pass |
Source Registries
smithery
First Seen
Mar 26, 2026
Last Seen
Apr 1, 2026
Last Probed
Apr 2, 2026