opnsense-mcp-server is an open-source Python package that implements a secure Model Context Protocol (MCP) server for managing OPNsense firewalls. Below are 17 infrastructure & backend apps with similar functionality to opnsense-mcp-server, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
mcp-server-for-oscal is an open-source tool providing AI agent capabilities for automating compliance with the Open Security Controls Assessment Language (OSCAL). It is aimed at compliance engineers and security teams seeking to streamline compliance workflows.
MCP server for Sentinel QA — manage test cases from any AI assistant
sops-mcp is an open-source MCP server and CLI tool for creating and managing SOPS-encrypted secrets. It is designed for DevOps and security engineers who need secure, automated secret management in their infrastructure workflows.
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.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
plesk-mcp is an open-source MCP server that facilitates automation and orchestration of model context protocol workflows, particularly for hosting and AI infrastructure scenarios. It is designed for engineers integrating AI models into hosting platforms.
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-base is an open-source CLI tool for setting up and managing Model Context Protocol (MCP) servers. It supports OIDC authentication with providers like Auth0, Dex, and Keycloak, and integrates with Kubernetes for scalable deployments.
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.
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.
Agent-feels-local SSH orchestration MCP server — persistent bash, hash-protected editing, SFTP, tunnels, multi-host orchestration over AsyncSSH
MCP server for Sentinel prediction markets — trade as an AI agent via Claude Desktop, Cursor, or Claude Code
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.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.
onb-mcp is an open-source Python package providing an MCP server that wraps the Open Notebook API. It enables developers to integrate and automate notebook workflows using the MCP protocol, facilitating interoperability and automation in data science and research environments.
server-guardian-mcp is a proprietary MCP server that enables monitoring and management of remote Linux servers via SSH. It offers over 60 tools including health checks, anomaly detection, dashboards, compliance reporting, and integrations with incident management platforms, targeting DevOps teams and IT administrators.
