mcp-server-for-oscal is an open-source tool providing AI agent capabilities for automating compliance with the Open Security Controls Assessment Language (OSCAL). Below are 12 autonomous agents & workflows apps with similar functionality to mcp-server-for-oscal, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
opnsense-mcp-server is an open-source Python package that implements a secure Model Context Protocol (MCP) server for managing OPNsense firewalls. It enables integration with AI assistants for automated firewall management and control.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
openclaw-health-mcp is an open-source MCP server for monitoring the health of AI agent deployments. It tracks gateway status, resource usage, errors, and skill registry integrity, providing cross-platform support for infrastructure operators and developers managing production AI systems.
MCP server for Sentinel QA — manage test cases from any AI assistant
okta-mcp-server is an open-source server implementing the Model Context Protocol (MCP) for Okta, allowing developers to integrate Okta management operations into LLMs and AI agents using natural language. It supports identity and access management workflows and is suitable for developers building AI-powered automation or agentic systems that require Okta integration.
Minimal stdio MCP server for parallel task execution by AI agents
vectra-ai-mcp-server is an open-source MCP server that exposes security detection, investigation, and response tools to AI assistants. It enables integration with AI-driven workflows for security automation and is suitable for security engineers and AI developers.
MCP server wrapping the ROBOT ontology CLI tool
mcp-server-splunk-oncall is an open-source CLI tool that acts as an MCP server for integrating Splunk On-Call (VictorOps) with incident management workflows. It enables DevOps teams to automate and streamline incident response processes using the MCP protocol.
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.
mcp-coder is an open-source CLI toolkit that leverages AI (Claude Code) and MCP servers to automate code analysis, testing, and implementation workflows. It is designed for developers seeking to streamline and enhance their software development processes with intelligent automation.
alpacon-mcp is an open-source Python package that enables AI-powered server management and integrates the Model Context Protocol (MCP) for seamless connection with AI tools like Claude and Cursor. It is designed for developers and infrastructure engineers seeking to automate and monitor server operations using modern AI integrations.
