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  2. agent-readiness-cli/
  3. Alternatives

agent-readiness-cli Alternatives

Score any URL for AI-agent readiness — llms.txt, JSON-LD, AI-bot robots.txt, canonical, MCP, meta, sitemap. Below are 39 infrastructure & backend apps with similar functionality to agent-readiness-cli, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.

  • agent-readiness
    github.com

    Benchmark how agent-ready a code repository is for LLM coding agents.

  • 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.

  • Agent Ready
    agent-ready.dev

    Agent Ready is a browser-based tool that scans websites for AI agent readability, checking compliance with Vercel Agent Readability Spec and llmstxt.org. It provides actionable fixes, REST API, and MCP server support for developers optimizing sites for AI agents and SEO.

  • Open Agent Readiness Scanner
    startuphub.ai

    Open Agent Readiness Scanner is a free tool that audits websites, APIs, and MCP endpoints across multiple categories to assess their compatibility with AI agents. It provides actionable feedback and a public leaderboard for developers and site owners.

  • agentrepocoach
    github.com

    agentrepocoach is an open-source CLI tool that analyzes codebases to determine their readiness for AI agent integration. It provides a readiness score and actionable coaching to help developers improve code quality for agent compatibility.

  • agentscore-cli
    pypi.org

    Lighthouse for AI agent development environments

  • agent-cli
    pypi.org

    A suite of AI-powered command-line tools for text correction, audio transcription, and voice assistance.

  • agent-probe-ai
    pypi.org

    agent-probe-ai is an open-source CLI tool for adversarial resilience testing of AI agents. It evaluates agent robustness against attacks like memory poisoning and tool misuse, helping AI researchers and security engineers identify vulnerabilities.

  • 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.

  • ai-agentbom
    github.com

    Offline AI agent bill of materials and attack surface scanner

  • agentlint-dev
    pypi.org

    Lint, score, and optimize AI agent configuration files (CLAUDE.md, AGENTS.md, Cursor rules)

  • 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.

  • agentcfg
    github.com

    CLI tool for deploying and managing AI coding agent configurations (MCP servers, skills, instructions) across multiple providers.

  • agentsentinel-cli
    pypi.org

    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. It helps developers and security engineers identify vulnerabilities and ensure compliance with security best practices in agentic systems.

  • 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.

  • 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.

  • agentype-cli
    github.com

    Local AI-agent usage analytics and persona archetypes

  • mcp-prod-readiness
    github.com

    Kubernetes production-readiness auditor, exposed as an MCP server and CLI.

  • agent-clifs
    github.com

    A CLI-driven virtual filesystem for AI agents

  • agent-eval
    pypi.org

    Agent evaluation toolkit

  • Phantom Agent
    github.com

    Autonomous Offensive Security Intelligence - AI-powered penetration testing

  • AI Readiness Checker
    replyraptor.com

    AI Readiness Checker is a free web tool that analyzes websites for AI assistant optimization. It checks for llms.txt, robots.txt, FAQ pages, and Schema.org markup to help site owners improve their site's discoverability by large language models. Designed for website owners and SEO professionals seeking to ensure their sites are AI-ready.

  • agentyc
    github.com

    Deterministic MCP-first browser automation runtime for coding agents

  • 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.

  • agent-notes
    github.com

    AI agent configuration manager for Claude Code, OpenCode, and Copilot

  • agent-scaffold-cli
    github.com

    Generate runnable AI agent projects from markdown specs in the agent-deployments repo.

  • playagent
    github.com

    Agent testing SDK. Instrument, assert, classify.

  • agent-zoo
    github.com

    Security harness for AI coding agents (Claude Code, Codex CLI, etc.) — mitmproxy payload inspection + TOML policy control.

  • agent-mail-cli
    github.com

    Self-describing local inbox for coding agents

  • AI Readiness Scanner
    opensverige.se

    AI Readiness Scanner is a free web-based tool that evaluates websites for compatibility with AI agents and checks compliance with the EU AI Act. It performs 17 automated checks, requires no signup, and is open source. The tool is designed for website owners and developers seeking to ensure their sites are accessible and compliant for AI-driven interactions.

  • 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.

  • Agent Brain CLI
    github.com

    Agent Brain CLI - Command-line interface for managing AI agent memory and knowledge retrieval

  • dotagent-toolkit
    pypi.org

    CLI-Toolkit für AI-Agent-Infrastruktur: .agent-Ordner, Tool-Discovery, Credential-Management

  • 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.

  • AI Visibility Checker
    promptship.dev

    AI Visibility Checker is a web and API tool that evaluates websites for their visibility and readiness in AI-powered search and agent systems. It provides actionable reports on technical and content factors affecting how AI agents perceive and interact with a site. Designed for website owners and SEO professionals.

  • 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.

  • ai-agent-rules
    github.com

    Manage user-level AI agent configurations

  • agentguard-tool
    pypi.org

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

  • agchk
    pypi.org

    agchk is an open-source CLI tool that audits the architecture and health of AI agent systems and LLM-integrated projects. It helps developers and auditors ensure the security and robustness of their AI deployments.