MCP ServerScored via MCP protocol probing: initialize handshake, tools/list conformance, and ping + tool invocation performance.
genderize
Genderize MCP — gender prediction from first name (genderize.io, free, no auth)
94/100
Operational Score
Score Breakdown
Availability30/30
Conformance30/30
Performance34/40
Key Metrics
Uptime 30d
100.0%
P95 Latency
48.1ms
Conformance
Pass
Trend
Stable
What's Being Tested
Availability
HTTP health check to the service endpoint
Responded with HTTP 405 in 58ms
Conformance
MCP initialize handshake + tools/list
Valid MCP server info returned, tools/list responded
Performance
MCP ping + zero-arg tool invocation benchmarking
P95 latency: 48ms, task completion: 100%
Skills
predict_gender
Predict the most likely gender of a person based on their first name, using global data from genderize.io. Returns gender ("male" or "female"), probability (0–1), and sample size.
predict_gender_country
Predict the most likely gender of a person based on their first name, calibrated to a specific country.
Tools
2 tools verified via live probeServer: pipeworx-gatewayVersion: 0.1.0Protocol: 2025-03-26
Recent Probe Results
| Timestamp | Status | Latency | Conformance |
|---|---|---|---|
| Apr 4, 2026 | success | 58.3ms | Pass |
| Apr 4, 2026 | success | 34.5ms | Pass |
| Apr 4, 2026 | success | 26.7ms | Pass |
| Apr 4, 2026 | success | 48.1ms | Pass |
| Apr 4, 2026 | success | 28.3ms | Pass |
| Apr 4, 2026 | success | 29.4ms | Pass |
| Apr 4, 2026 | success | 45.7ms | Pass |
| Apr 4, 2026 | success | 36.7ms | Pass |
| Apr 4, 2026 | success | 36.3ms | Pass |
| Apr 4, 2026 | success | 37.4ms | Pass |
Source Registries
mcp-registry
First Seen
Apr 3, 2026
Last Seen
Apr 3, 2026
Last Probed
Apr 4, 2026