ASMHunter is a continuous attack surface monitoring (ASM) platform designed specifically for bug bounty hunters and security professionals. Below are 20 ai & ml apps with similar functionality to asmhunter-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
hound-mcp is an open-source CLI tool that enables AI agents and developers to perform advanced web research, including fetching pages with anti-bot bypass, crawling sitemaps, extracting outgoing links, and mapping PDF sections. It is designed for AI and data engineering workflows.
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.
heed-mcp is an open-source MCP server package designed to integrate human approval as a native tool within AI agent workflows. It enables developers to add human-in-the-loop (HITL) steps to their agent systems, supporting approval and oversight in automated processes. Ideal for AI developers and teams building agent-based applications that require human validation.
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.
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.
MCP server launcher for Haxaml.
maa-mcp is an open-source MCP server based on MaaFramework, enabling automation of Android and Windows desktop tasks for AI assistants. It supports integration with OCR and various automation workflows for developers building AI-powered automation solutions.
MCPShield Agent is a Python-based security platform designed to discover, monitor, and assess the risk of MCP servers within an organization. It addresses the challenge of shadow AI infrastructure, where unauthorized or unmonitored MCP servers may expose sensitive data through misconfigured access to databases, file systems, and APIs. The tool is intended for security teams and organizations seeking to gain visibility into MCP server deployments and reduce the risk of credential exposure, compliance violations, and data breaches arising from AI assistants like Claude and ChatGPT accessing critical systems. The platform operates by deploying a lightweight agent on endpoints, which scans for MCP configurations across environments such as Claude Desktop, Cursor, VS Code, and custom setups. It supports Windows, macOS, and Linux, and can be installed via PyPI using a pip command. The agent automatically discovers all MCP servers on a machine, analyzes their configurations, and calculates a risk score from 0 to 100 for each server based on factors like database access patterns, sensitive environment variables, file system permissions, and the presence of plaintext credentials or API tokens. Risk findings are categorized by severity (Critical, High, Medium, Low) and are surfaced immediately in a web-based dashboard, providing detailed breakdowns of each risk factor and enabling teams to prioritize remediation efforts. MCPShield Agent offers on-demand scanning, allowing users to generate a complete inventory of MCP servers at any time, with results uploaded to the dashboard. The platform also features live activity timelines, instant alerts for high-risk configurations, and the ability to embed dynamic risk score badges in internal documentation. Scheduled scanning, change tracking, Slack and webhook integrations, and a badge embed API are noted as upcoming features. For developers, MCPShield integrates into CI pipelines, automatically risk-scoring pull requests that modify MCP configurations, with a GitHub Action available for streamlined workflow integration. The tool provides a free tier and is open source under the MIT license, emphasizing privacy by never capturing credential values. No signup is required for certain scanning features, and the agent can be used without an API key in CI environments. MCPShield Agent positions itself as a privacy-first, compliance-aware solution for organizations seeking complete visibility over their AI-connected infrastructure.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
hatchet-mcp is an open-source operational MCP server for Hatchet, offering a REST API for orchestration and run control. It is read-only by default, with opt-in control features, and is designed for developers building AI workflows and orchestration systems.
mcp-strike is an open-source command-line tool designed for active, runtime adversarial testing of Model Context Protocol (MCP) servers. It helps security engineers and red teams identify vulnerabilities and weaknesses by simulating attacks and scanning for issues. The tool supports automated security assessments and is freely available under the MIT license.
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.
ucm-mcp is an open-source MCP server designed for AI-agent code navigation and mapping. It supports AST parsing and integrates with AI agents to facilitate code analysis and automation. The tool is aimed at developers building intelligent code navigation solutions or automating codebase understanding.
allstar-mcp is an open-source MCP server that wraps ASL3-API REST endpoints, allowing AI agents to control amateur radio nodes. It is designed for developers and hobbyists working with AllStar Link and AI automation in radio communications.
tappy-mcp is an open-source command-line tool for discovering, configuring, running, inspecting, and monitoring Model Context Protocol (MCP) servers across AI clients. It provides infrastructure engineers and developers with essential tools to manage and monitor MCP-based AI deployments efficiently.
harbormaster-mcp is an open-source tool for orchestrating multiple AI coding agents across projects. It provides an operator dashboard, live web console, and advanced features for managing agent workflows and project memories. Part of the FleetQ ecosystem.
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-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.
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.
AI-powered security vulnerability scanner for MCP (Model Context Protocol) servers with automatic fixes, secret detection, and multi-channel alerts
