Production-ready MCP server for monitoring AWS Health events and service status Below are 21 observability & monitoring apps with similar functionality to aws-health-mcp-server, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
openclaw-health-mcp is an open-source MCP server for monitoring the health of AI agent deployments. It tracks gateway status, resource usage, errors, and skill registry integrity, providing cross-platform support for infrastructure operators and developers managing production AI systems.
MCP Server for AWS Cost Explorer — query costs, analyze EC2, detect anomalies, and generate cost reports
An Infrastructure as Code MCP server that provides CloudFormation template validation, compliance checking, and deployment troubleshooting capabilities.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
Simple MCP Client to quickly test and explore MCP servers from the command line
MCP server for catching cron silent failures in production AI deployments — exit-0-with-empty-output detection, overdue jobs, retry storms, action-budget leaks. Works with system cron, systemd timers, OpenClaw cron logs, and any JSONL run-log.
Test your MCP server like you test an API — declarative YAML, CI-ready, zero boilerplate.
mcp-audit-scanner is an open-source CLI tool designed to audit Model Context Protocol (MCP) server configurations for security and privacy vulnerabilities. It assists security engineers in identifying and mitigating risks in AI agent infrastructure.
Linter for MCP (Model Context Protocol) config files used by Claude Desktop, Cursor, Cline, Windsurf, and Zed. CLI + library API.
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
CI gate for MCP servers
Turn any MCP server or OpenAPI spec into a CLI
mcp-checkup is an open-source CLI utility that audits MCP server setups, measuring context tax and hygiene. It helps AI infrastructure engineers and developers ensure their Model Context Protocol servers are efficient and healthy by providing detailed health checks and token analysis.
Agent-feels-local SSH orchestration MCP server — persistent bash, hash-protected editing, SFTP, tunnels, multi-host orchestration over AsyncSSH
MCP server for LibreNMS management
Lookup MCP servers in the official MCP Registry by name or URL.
MCP server for Sentinel QA — manage test cases from any AI assistant
Convert MCP server tools into hierarchical CLI commands and agent Skills
MCP server launcher for Haxaml.
Agent Behavior Lab — simulate, analyze, and monitor AI agent behavior against fake MCP servers
Static analysis tool for MCP server Python code — detects security vulnerabilities via AST and taint tracking.