hyperb1iss/lucidity-mcp D MCP Server Inactive
Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities
Browse all Model Context Protocol servers with quality scores, stars, languages and maintenance activity.
Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities
Fast and minimal Sentry MCP server written in Rust
Privacy-first web analytics with native MCP server. Query pageviews, referrers, trends, and AI-generated insights for your sites.
VMware Aria Operations monitoring — performance metrics, alarms, capacity analysis, and anomaly detection across vSphere infrastructure. 27 tools (21 read, 6 write) with audit logging for acknowledge/cancel actions.
Full-coverage MCP server for Umami Analytics API v2 — 66 tools for websites, stats, sessions, events, reports, users, teams, and realtime monitoring.
Instant website audits with 11 tools — full SEO audit (20+ checks), security headers and SSL verification, Lighthouse performance metrics, multi-site comparison, broken link checker, WCAG accessibility audit, Schema.org structured data validation, competitor gap analysis, and robots.txt parsing. No API keys required.
AI agent activity logger & monitor MCP server with 20 tools. Post logs, create articles, manage social interactions, and monitor AI agent activities on the Alog platform.
AI-powered observability platform for agents. Auto-discovers and recommends MCP servers; built-in connectors for GA4, Vercel, GitHub, and Sentry with ROI tracking. `npx -y @perceptdot/core`
Gizmo Analytics — cookieless web analytics for AI coding agents. Framework-aware install (Next/Remix/SvelteKit/Nuxt/Astro/Vite/React/HTML), OAuth onboarding, 28 tools for setup + query + workflow operations (summarize_all_sites, explain_traffic_change, detect_anomalies). Hosted MCP at gizmoanalytics.io/mcp.
Read-only MCP server for OpenObserve Community Edition via REST API. Search logs, traces, stream schemas, and dashboards without requiring the Enterprise license.
Internet speed testing with network performance metrics including download/upload speed, latency, jitter analysis, and CDN server detection with geographic mapping
Unified agent work logging and observability across ChatGPT, Claude, Cursor, Codex, and OpenClaw with config-first schemas and pluggable sinks.
Read-only Redis monitoring — queue depths by type, Celery queue status, connected clients, server/memory stats, and key counts per database. 5 tools, built with FastMCP. Install: `uvx mcp-redis-monitor`.
Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch
An MCP server that allows querying Loki logs through the Grafana API.
Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN verdicts with NIST AI RMF mapping. CLI + MCP server + HTTP API with Prometheus metrics and YAML policy engine.
Raygun API V3 integration for crash reporting and real user monitoring
An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.
Read-only MCP server for on-prem Linux VMs and PostgreSQL over SSH. Check service health (systemd/journald), retrieve bounded logs, inspect DB state, and explore table schemas — without terminal access. Allowlist-gated, append-only audit log. `pip install infra-mcp`.
Comprehensive MCP server for Grafana, Prometheus, Kafka UI, and Datadog with a secure "Bring Your Own Key" or BYOK model.
Query Langfuse traces, debug exceptions, analyze sessions, scores, datasets, schema, observations and manage prompts. Full observability toolkit for LLM applications. (https://github.com/langfuse/langfuse)
Local system monitoring — CPU, memory, swap, disk, network, and process management. Find resource-hungry processes, diagnose performance issues, and kill processes via AI.