Lucid Observability Agent
Related Servers
Alternatives to Lucid Observability Agent
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceMCP server for payment reliability tasks including retry strategy recommendation, payment failure simulation, billing guardrail validation, fee leakage detection, and incident summarization.-
- FlicenseCqualityDmaintenanceAn MCP server for Prometheus-based monitoring that enables users to query system metrics, resource usage, and PostgreSQL health across multiple environments. It supports both predefined diagnostic checks and custom PromQL execution for comprehensive server monitoring and troubleshooting.12-
- FlicenseNot gradedqualityCmaintenanceMCP server that coordinates autonomous infrastructure health monitoring agents, enabling natural-language telemetry queries and automated diagnosis, remediation, and verification.-
- FlicenseNot gradedqualityCmaintenanceMCP server for observability that provides tools for log search, metrics inspection, SQL querying, incident summaries, and service discovery.-
- AlicenseNot gradedqualityCmaintenanceAn open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.25 PyPI11Apache 2.0
- AlicenseNot gradedqualityBmaintenanceProvides comprehensive monitoring and observability for MCP server ecosystems with real-time health checks, performance metrics, distributed tracing, anomaly detection, and automated performance reports using OpenTelemetry and Prometheus.1MIT
TDQS
Scored across 16 tools
Most tools have distinct resource+action targets (list/get/resolve issues, stats, health checks), but sentry_search_by_trace and cross_correlate both pivot on trace_id to find related errors and could be confused, and check_conventions vs check_config_health overlap somewhat on observability auditing.
All names are snake_case and mostly verb_noun, which is readable, but the convention is inconsistent: some tools carry service prefixes (sentry_, openmeter_) while others (check_conventions, diagnose_issue, cross_correlate, generate_runbook) do not.
16 tools is slightly heavy but justified given three distinct domains (Sentry, OpenMeter, config/observability auditing) that each need several operations.
Covers Sentry issue lifecycle (list, get, events, resolve), trace search, stats, correlation, runbook/alert generation, plus OpenMeter health/usage/retry and config auditing; minor gaps like issue commenting or alert rule mutation, but core observability workflows are covered.