lucidity
hyperb1iss/lucidity-mcp
Improve AI-generated code quality with prompt-based analysis across 10 dimensions, from complexity to security vulnerabilities.
- Local integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 90
- Language
- Python
- License
- Apache-2.0
- Forks
- 23
- Activity
- updated 1y ago
- ai-tools
- claude
- code-analysis
- code-quality
- code-review
- developer-tools
- fastmcp
- git-analysis
First MCP server?Start with the basics
Discovery, exploration, reporting and root cause analysis over Netdata metrics, logs, systems, containers, processes and network connections.
Search dashboards, investigate incidents and query datasources in your Grafana instance.
Sentry integration for error tracking and performance monitoring.
Homelab management across multiple servers via SSH: system resource monitoring, Docker containers, Wake-on-LAN, network scans, open-port checks and alerts.
Zabbix integration for hosts, items, triggers, templates, problems, data and more.
Integration with VictoriaMetrics instance APIs and documentation for monitoring, observability and debugging tasks.
Access OpenTelemetry traces and metrics through Logfire.
Query Langfuse traces, debug exceptions, analyze sessions and manage prompts for LLM applications.