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. Below are 15 security & compliance platforms apps with similar functionality to shieldclaw-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
MCPShield Agent is an open-source CLI tool that uses AI to scan and secure MCP servers. It automates vulnerability detection and integrates with agent-based security workflows, helping administrators maintain secure server environments.
mcp-audits is an open-source CLI tool that scans, enumerates, and risk-scores permissions on locally configured MCP servers. It is designed for security engineers and AI infrastructure operators to ensure safe and compliant access control in AI systems.
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.
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.
receipts-mcp is an open-source CLI tool that acts as a proxy for Model Context Protocol (MCP), recording and cryptographically signing AI agent tool calls. It is designed for developers building secure and auditable AI agent workflows.
agent-policy-enforcement-mcp is an open-source CLI tool that enables per-agent-pair IAM and policy enforcement for agent-to-agent (A2A) calls. It allows developers to define, enforce, and attest to policies, supporting compliance with EU AI Act and ISO 42001. Ideal for AI developers and security teams.
AI-powered security code review MCP server for Claude Code — combines CodeQL, Semgrep (5,000+ rules), bandit, detect-secrets, Dependabot CLI, osv-scanner, Trivy (Docker image scanning), pip-audit, and npm-audit
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.
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-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.
agent-harnesses-mcp is an open-source MCP server that provides recommendations, search, and head-to-head decision guides for over 100 agent harnesses. It is designed for AI developers and researchers working with LLM-based agents, offering weekly rescoring and structured comparison tools.
agentdrive-mcp is an open-source MCP server designed for use with Claude Code, enabling agent-driven automation and integration via API. It is suitable for developers building automation systems and agent frameworks.
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.
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-toolguard is an open-source CLI tool for contract testing, drift detection, and security checks on MCP servers. It integrates with CI pipelines and production environments to help DevOps engineers maintain server integrity.
