73
/100
B
◉ Complete 5⁄5
AWS Application Signals MCP Server
Enables AI assistants to monitor and troubleshoot AWS Application Signals services by tracking service health, analyzing SLO compliance, querying CloudWatch metrics, and investigating issues using distributed tracing with AWS X-Ray.
AWS
MCP Surface
Tools: 7
Schema Drift
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
66
25% weight
Protocol Compliance
82
20% weight
Reliability
—
20% weight
Docs & Maintenance
37
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
90
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 70 | Good |
| Description Quality | 60 | Fair |
| Documentation Coverage | 40 | Fair |
| Maintenance Pulse | 21 | Poor |
| Dependency Health | 30 | Poor |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month ago
Protocol Compliance
Schema Issues (22)
list_monitored_services.include_linked_accounts: missing description
get_service_detail.service_name: missing description
get_service_detail.include_linked_accounts: missing description
query_service_metrics.service_name: missing description
query_service_metrics.metric_name: missing description
query_service_metrics.statistic: missing description
query_service_metrics.extended_statistic: missing description
query_service_metrics.hours: missing description
query_service_metrics.include_linked_accounts: missing description
get_slo.slo_id: missing description
search_transaction_spans.log_group_name: missing description
search_transaction_spans.start_time: missing description
search_transaction_spans.end_time: missing description
search_transaction_spans.query_string: missing description
search_transaction_spans.limit: missing description
... and 7 more
Probed 1 month ago