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  2. agentsentinel-cli/
  3. Alternatives

agentsentinel-cli Alternatives

agentsentinel-cli is an open-source command-line tool that provides security scanning, static analysis, supply chain auditing, and multi-agent trust analysis for AI agents and MCP servers. Below are 33 ai & ml apps with similar functionality to agentsentinel-cli, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.

  • agentsec-cli
    pypi.org

    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.

  • akita-sentinel
    pypi.org

    akita-sentinel is an open-source CLI tool for monitoring local AI agents and scanning new skills before they run. It provides security governance and supports the Model Context Protocol (MCP), making it useful for developers building or deploying autonomous agents locally.

  • agentaudit-scanner
    pypi.org

    agentaudit-scanner is an open-source CLI tool that scans AI agent skills, rule files, and MCP configurations for security risks like prompt injections and hidden instructions. It is designed for AI security engineers and developers to ensure safe agent deployments.

  • sentinel-ai-scanner
    github.com

    AI model security scanner — scan any HuggingFace model for vulnerabilities, CVEs, misconfigurations, prompt injection, and bias.

  • agent-audit-kit
    github.com

    agent-audit-kit is an open-source CLI tool that scans MCP-connected AI agent pipelines for security vulnerabilities. It helps AI security engineers ensure the safety and compliance of agent-based workflows.

  • agentscanner
    pypi.org

    agentscanner is an open-source CLI tool that performs static security analysis on agentic AI configuration files, including settings, permissions, hooks, and MCP servers. It helps developers and security teams identify vulnerabilities in AI agent stacks before deployment.

  • mcp-server-sentinel
    github.com

    MCP server for Sentinel QA — manage test cases from any AI assistant

  • Agent Sentinel
    agentsentinel.dev

    Agent Sentinel is a platform that enforces real-time policy, budget, and human oversight for AI agents through a runtime authority layer. It enables organizations to control agent actions, ensuring compliance and safety in automated workflows.

  • sentinelci
    github.com

    AI-powered security scanning and autonomous remediation platform

  • Sentinel
    sentinel-agents.com

    Sentinel is a web-based security product that detects and blocks prompt injection attacks, encoding bypasses, and credential exposure in AI agents. It supports popular agent frameworks and provides real-time threat detection for organizations deploying AI systems.

  • agentsec-eval
    github.com

    agentsec-eval is an open-source CLI framework for evaluating the security of AI agents. It provides adversarial test runners, server-side audits, and scoring mechanisms to help researchers and developers identify vulnerabilities such as prompt injection and improve agent robustness.

  • sentinel-mac
    github.com

    AI Agent Security Guardian for macOS — monitors system health and AI agent behavior (file access, network connections, risky commands) with smart alerts

  • ai-agentic-mcpscan
    pypi.org

    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.

  • agentlint
    pypi.org

    agentlint is an open-source CLI tool that provides real-time quality guardrails and linting for AI coding agents. It helps developers maintain code quality and safety by integrating with agentic coding workflows and enforcing best practices.

  • agentproof-scan
    pypi.org

    agentproof-scan is an open-source CLI security scanner designed to probe AI-agent HTTP endpoints for secret and prompt leakage. It integrates with CI pipelines using exit codes to automate security checks, helping developers and security engineers ensure their AI agents are not exposing sensitive information.

  • agent-readiness-cli
    github.com

    Score any URL for AI-agent readiness — llms.txt, JSON-LD, AI-bot robots.txt, canonical, MCP, meta, sitemap.

  • ai-agentguard
    github.com

    ai-agentguard is an open-source CLI tool that monitors AI coding agents for security threats such as remote code execution, MCP poisoning, and API key theft. It is designed for developers working with AI agent frameworks to enhance security.

  • agentbench-cli
    pypi.org

    agentbench-cli is an open-source command-line tool that allows AI developers and researchers to evaluate, test, and scan the behavior and safety of AI agents. It provides automated checks and reporting for agent performance and compliance.

  • agentscore-cli
    pypi.org

    Lighthouse for AI agent development environments

  • agent-id-cli
    pypi.org

    agent-id-cli is an open-source command-line interface for managing identities of AI agents. It allows developers to create, update, and organize agent identities efficiently. Suitable for AI developers and teams working with multiple agents.

  • agentguard-tool
    pypi.org

    AI-native quality gate for agent-generated code — scan, audit, auto-fix, trend

  • agentguardCI
    github.com

    agentguardCI is an open-source command-line tool that provides contract testing for tool-using AI agents. It integrates with CI pipelines to automatically evaluate and validate agent behaviors, helping developers ensure reliability and correctness of their AI systems.

  • agentcikit
    pypi.org

    agentcikit is an open-source CLI toolkit that provides CI-grade evidence and safety tools for AI agents, MCP servers, and open-source contribution workflows. It helps developers automate validation and ensure safety in continuous integration environments.

  • sentinel-cli
    paydlabs.com

    sentinel-cli is an open-source command-line tool and MCP server for the Sentinel DevOps portal. It enables DevOps engineers to manage deployments, services, and projects efficiently from the terminal, supporting automation and integration in modern DevOps workflows.

  • agentsift
    github.com

    agentsift is an open-source CLI tool that scans AI agent plugins, skills, and MCP packages for security vulnerabilities and supply chain risks. It helps AI developers maintain secure and reliable agent ecosystems.

  • sentinel-mcp-server
    github.com

    MCP server for Sentinel prediction markets — trade as an AI agent via Claude Desktop, Cursor, or Claude Code

  • neurosentinel
    pypi.org

    neurosentinel is an AI security tool designed to protect and monitor multi-agent large language model (LLM) pipelines. It provides features for detecting threats and ensuring safe operation of AI workflows, targeting developers and security professionals working with advanced AI systems.

  • agentrun-cli
    pypi.org

    agentrun-cli is an open-source command-line interface for managing AI agent infrastructure, including sandboxing and LLM integration. It enables developers and infrastructure engineers to efficiently control and deploy agent-based systems from the terminal.

  • zwischen-cli
    pypi.org

    zwischen-cli is an open-source command-line tool that uses AI to scan codebases for secrets and vulnerabilities. It offers zero-config setup and integrates with static application security testing workflows for developers and security teams.

  • payd-labs-sentinel-cli
    pypi.org

    payd-labs-sentinel-cli is an open-source command-line tool and MCP server designed for the Sentinel DevOps portal. It enables DevOps engineers to manage deployments, services, and projects efficiently from the terminal, with support for Docker and Model Context Protocol integration.

  • agentsploit
    github.com

    agentsploit is an open-source CLI framework designed for offensive security testing of AI agents and Model Context Protocol (MCP) servers. It provides tools for prompt injection, red teaming, and agent security research, supporting security professionals and developers.

  • aiagenthub-cli
    github.com

    aiagenthub-cli is an open-source command-line tool for running and managing AI agents. It supports agent registry, Docker integration, and automation, targeting developers building or orchestrating AI agent workflows.

  • mcpsec
    github.com

    Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections