openclaw-health-mcp is an open-source MCP server for monitoring the health of AI agent deployments. Below are 39 llm eval & observability apps with similar functionality to openclaw-health-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
openclaw-cost-tracker-mcp is an open-source MCP server that provides token-cost telemetry, quota-window awareness, anomaly detection, and spend forecasting for AI agents using providers like Anthropic, OpenAI, Gemini, and more. It helps AI ops teams manage costs and avoid quota exhaustion.
openclaw-output-vetter-mcp is an open-source MCP server for verifying AI agent outputs, providing inline grounding checks, exception scanning, and transcript review. It is designed for developers and researchers working with AI agents who need robust evaluation and observability tools.
openclaw-upgrade-orchestrator-mcp is an open-source CLI tool that manages safe upgrades for AI agent runtimes. It provides regression detection, catalog management, snapshot diffing, and rollback capabilities, supporting Anthropic and OpenAI providers. Designed for AI infrastructure teams.
openclaw-skill-vetter-mcp is an open-source MCP server that scans and security-vets third-party AI agent extensions, providing risk scores and static analysis to help developers and security teams prevent vulnerabilities.
Production-ready MCP server for monitoring AWS Health events and service status
kubernetes-mcp is a CLI tool that provides an MCP server for exposing Kubernetes cluster operations to AI assistants. It enables automation and management of Kubernetes environments through AI-driven workflows.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
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.
hyperclast-mcp is an open-source MCP server that lets developers enable AI assistants to read and write user pages. It provides a standardized interface for integrating AI-driven automation into applications, supporting extensibility and self-hosted deployments.
MCPfinder is an open-source tool that helps AI agents discover and configure Model Context Protocol (MCP) servers. It inspects trust signals, manages environment variables, and generates install-ready configurations, streamlining integration for developers building AI agents that interact with external tools and data sources.
shieldclaw-mcp is an open-source CLI tool that acts as a permission layer for AI agent tool calls on Model Context Protocol (MCP) servers. It enables allow, deny, or ask policies with comprehensive audit logging, helping developers enforce security and compliance in AI agent infrastructure.
mcp-server-for-oscal is an open-source tool providing AI agent capabilities for automating compliance with the Open Security Controls Assessment Language (OSCAL). It is aimed at compliance engineers and security teams seeking to streamline compliance workflows.
kloudhub-mcp is an open-source MCP server that enables engineers to control and automate cloud infrastructure using AI. It integrates with tools like Terraform and AWS, providing a programmable interface for infrastructure management.
air-blackbox-mcp is an open-source CLI tool and MCP server that scans AI agent code for compliance with the EU AI Act, GDPR, and bias detection. It helps developers and compliance teams analyze, remediate, and protect AI systems against regulatory risks.
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.
eip-mcp is an open-source MCP server that delivers vulnerability and exploit intelligence for AI assistants. It supports the Model Context Protocol and is designed for integration into security and AI workflows. Distributed under the MIT license.
cctx-mcp is an open-source MCP server designed for AI agents, offering structured code analysis that significantly reduces token usage. It integrates with Tree-sitter and is aimed at developers building efficient AI-powered code tools.
mcp-agent-handoff is an open source portable MCP server designed for managing agent handoff states and review tracking in AI agent workflows. It implements the MCP protocol and can be self-hosted for integration into agentic systems.
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.
mcp-defense is a CLI tool for AI infrastructure engineers and security teams, providing kernel-native runtime defense for AI agents. It enforces MCP tool-call policies and correlates kernel events to secure agentic workloads such as Claude Code, Codex, and Devin.
pcp-mcp is an open-source MCP server designed for use with Performance Co-Pilot (PCP). It facilitates advanced monitoring and integration using the Model Context Protocol, making it suitable for system administrators and developers managing performance data.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
iris-security-mcp is an open-source Python package that implements an MCP server, allowing organizations to connect Claude to AI agent governance and compliance systems. It supports secure agent management and integrates with existing compliance workflows. Designed for developers and teams building or managing AI agents.
LeanMCP is an open-source infrastructure platform for building and deploying agentic AI using MCP servers. It offers SDKs for TypeScript and Python, managed deployment, observability, and integrations to help developers ship AI agents efficiently.
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.
MCP server launcher for Haxaml.
mcp-brain is a command-line and MCP server framework for multi-agent cognitive processing. It enables developers and researchers to coordinate and execute complex agent-based workflows, supporting advanced automation and distributed AI tasks.
Linter for MCP (Model Context Protocol) config files used by Claude Desktop, Cursor, Cline, Windsurf, and Zed. CLI + library API.
MCP server for Sentinel QA — manage test cases from any AI assistant
phi-guard-mcp is an open-source CLI tool and MCP server designed to detect, redact, and audit protected health information (PHI) in medical text before it is sent to AI agents. It helps healthcare developers and privacy engineers ensure HIPAA compliance and data privacy when integrating AI into medical workflows.
abrasio-mcp is an open-source MCP server that exposes the Abrasio agentic browser, allowing AI models to perform browser automation tasks. It is designed for developers and researchers building autonomous AI agents that require web interaction capabilities.
pmcp is an open-source CLI tool implementing Progressive MCP, designed to minimize context bloat and enable on-demand tool discovery for AI agents. It is aimed at AI developers working with agent frameworks and MCP protocols.
m365-service-comms-mcp is an open-source, read-only Model Context Protocol (MCP) server that exposes Microsoft 365 service health and Message Center posts to AI agents. It enables local access to critical service status information for automation and monitoring.
ai-firewall-mcp is an open-source MCP server component for AI Firewall, providing a security layer for large language models. It helps AI security engineers protect LLM deployments from prompt injection and jailbreak attacks using a multi-agent approach.
MCP Pre-Flight is a web-based tool that audits Model Context Protocol (MCP) server submissions for compatibility with Claude and OpenAI directories. It performs protocol checks, OAuth validation, and source code analysis to help developers ensure compliance before submission.
central-mcp is an open-source Python package that serves as an agent-agnostic MCP hub for managing and orchestrating multiple coding agents. It enables AI developers to coordinate various coding agents using the Model Context Protocol (MCP).
contextl-mcp is an open-source MCP server designed for AI coding agents. It provides repository intelligence, code search, and integrates with the Model Context Protocol, allowing developers to build advanced AI-powered code tools. Distributed under the MIT license.
MCP server for Link local agent memory — remember, recall, search, context, and graph traversal
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
