harbormaster-mcp is an open-source tool for orchestrating multiple AI coding agents across projects. Below are 7 autonomous agents & workflows apps with similar functionality to harbormaster-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
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.
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.
kubernetes-mcp is a CLI tool that provides an MCP server for exposing Kubernetes cluster operations to AI assistants. It enables automation and management of Kubernetes environments through AI-driven workflows.
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 Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
