MCPShield Agent is a Python-based security platform designed to discover, monitor, and assess the risk of MCP servers within an organization. Below are 28 other ai apps with similar functionality to MCPShield Agent, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
ShieldMCP is a web-based security scanner that analyzes Model Context Protocol (MCP) configuration files for vulnerabilities, including permission risks, exposed secrets, and supply chain threats. It provides instant feedback and actionable fixes, helping MCP administrators secure their deployments efficiently.
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.
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
SkillShield is a web platform that analyzes AI agent skills and MCP servers for security vulnerabilities, providing a 0-100 trust score and embeddable badges. It helps developers and organizations ensure the safety of their AI integrations.
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.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
RelayShield MCP is an open-source MCP server for security teams, offering breach detection, SIM swap monitoring, OAuth watchlists, and scanning for phishing and infostealer threats. It supports both CLI and API access.
agentsec-cli is an open-source CLI tool that performs static security analysis on AI coding agents and Model Context Protocol (MCP) configurations. It helps developers and security teams identify vulnerabilities and misconfigurations in agent-based AI systems before deployment.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
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.
Security scanner for MCP servers — detect prompt injection, credential leaks, exposed endpoints, and tool poisoning
AI-powered security vulnerability scanner for MCP (Model Context Protocol) servers with automatic fixes, secret detection, and multi-channel alerts
ai-agentic-mcpscan is an open-source command-line tool that provides local-first, offline-by-default security posture scanning for Model Context Protocol (MCP) and local-agent environments. It is intended for security engineers and teams managing agent-based infrastructures.
mcp-agent-tester is an open-source tool for inspecting, testing, and running MCP servers and agents. It provides both a web UI and CLI, supports JSON trace export, and is designed for developers working with Model Context Protocol agents and infrastructure.
cheetah-firewall-mcp is an MCP server designed to enhance agent input safety by scanning for prompt-injection, checking URL reputation, and verifying on-chain agent trust. It provides an API for developers to integrate security checks into their AI agent workflows, with a free tier available.
mcp-security-scan is an open-source CLI tool that scans MCP servers for hardcoded secrets, unsafe execution, and missing authentication. It helps developers and security engineers identify and remediate vulnerabilities in their MCP infrastructure.
ShieldPi is a security platform that automates red-teaming and vulnerability assessment for LLM applications, AI agents, and MCP servers. It provides real-time attack simulation, jury-verified findings, and compliance-ready reports, helping AI developers and security teams ensure robust protection for their AI systems.
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.
agent-prompt-injection-firewall-mcp is an open-source CLI firewall that scans prompts, RAG documents, tool arguments, and agent-to-agent payloads for OWASP LLM01 prompt injection vulnerabilities. It uses pattern-based and heuristic detection, integrates with MCP, and provides signed attestations for compliance. Designed for AI developers and security teams.
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.
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.
Agent MCP Studio is a free, browser-based platform for building, running, and exporting Model Context Protocol (MCP) tools and AI agents. It enables developers to specify tools in natural language, generate code with LLMs, and run agents entirely in the browser or via Docker. Designed for AI developers and researchers.
ASMHunter is a continuous attack surface monitoring (ASM) platform designed specifically for bug bounty hunters and security professionals. The tool addresses the challenges of tracking internet-facing assets within bug bounty scopes, such as subdomains, ports, endpoints, and HTTP services, by providing real-time monitoring and attribution for every change detected. Unlike traditional ASM tools that simply report asset changes, ASMHunter links each finding to the specific scan, asset, and timestamp that surfaced it, enabling users to trace bounties directly back to the monitoring event that earned them. The platform offers a chronological diff feed that highlights new subdomains, ports, HTTP fingerprints, URLs, and findings as they appear. Scheduled sweeps run automatically without requiring users to maintain their own infrastructure, cron jobs, or deduplication scripts. ASMHunter is scope-aware, ensuring all monitoring stays within authorized bug bounty programs. Users can receive alerts via Telegram and email, and findings are enriched with metadata for scan attribution. The tool also provides a public API, allowing integration with custom scripts, Caido, or AI agents, making it adaptable to various workflows. ASMHunter features a native Model Context Protocol (MCP) server, enabling users to drive reconnaissance, hunt sessions, and reporting directly from AI clients such as Claude or Cursor. This integration allows for natural language interaction, letting users start sessions, set goals, log findings, and draft reports without leaving their editor or chat environment. The platform supports goal-driven hunting, keeping AI agents focused on specific objectives throughout a session. Pricing is structured for individual hunters and teams, with a free tier offering weekly sweeps for up to three targets. Paid plans include Hunter, Pro, and Legend, which scale in sweep frequency and target count, and add features such as deeper discovery modules for XSS, SQLi, and JS secret extraction. Team and enterprise options are available for organizations needing shared dashboards, SSO, or custom workflows. ASMHunter is delivered as a managed service and does not require self-hosting or manual infrastructure maintenance.
MCP.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.
MCP SuperAssistant is an open-source browser extension that integrates the Model Context Protocol (MCP) with popular AI chat platforms like ChatGPT, Perplexity, Grok, Gemini, and more. It allows users to interact with MCP-enabled services directly from their browser, enhancing AI chat workflows. Ideal for AI enthusiasts and users who want advanced protocol support in their daily chat tools.
mcp-mcts is an open-source CLI tool for local MCP security scanning, attack chain analysis, inventory management, and CI integration. It supports optional Semgrep and LLM analysis, making it suitable for security engineers and DevOps teams focused on codebase security.
MCP server for Sentinel QA — manage test cases from any AI assistant
hexis-mcp-guard is an open-source command-line tool that scans Model Context Protocol (MCP) servers for security vulnerabilities. It checks for issues such as misconfigurations and exposed secrets, helping administrators secure their MCP deployments. Designed for security engineers and server admins.
