vectra-ai-mcp-server is an open-source MCP server that exposes security detection, investigation, and response tools to AI assistants. Below are 28 other ai apps with similar functionality to vectra-ai-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 Sentinel QA — manage test cases from any AI assistant
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-powered security vulnerability scanner for MCP (Model Context Protocol) servers with automatic fixes, secret detection, and multi-channel alerts
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
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.
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
cctx-mcp is an open-source MCP server designed for AI agents, offering structured code analysis that significantly reduces token usage. It integrates with Tree-sitter and is aimed at developers building efficient AI-powered code tools.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
openclaw-output-vetter-mcp is an open-source MCP server for verifying AI agent outputs, providing inline grounding checks, exception scanning, and transcript review. It is designed for developers and researchers working with AI agents who need robust evaluation and observability tools.
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.
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.
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.
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.
Static analysis tool for MCP server Python code — detects security vulnerabilities via AST and taint tracking.
mcp-kvm is an open-source MCP server that allows AI agents to control computers through KVM hardware, enabling automation of tasks at the BIOS, login, and system recovery levels. It is designed for AI researchers and sysadmins working on autonomous computer management.
vectorise-mcp is an open-source local MCP server that processes folders of dense documents to create a vector embedding database, enabling Claude to perform efficient local search and retrieval. It is aimed at AI developers and researchers working with retrieval-augmented generation.
air-blackbox-mcp is an open-source CLI tool and MCP server that scans AI agent code for compliance with the EU AI Act, GDPR, and bias detection. It helps developers and compliance teams analyze, remediate, and protect AI systems against regulatory risks.
The Psychopathia Machinalis MCP Server is an open-source diagnostic server that provides a structured framework for AI systems to perform self- and peer-diagnosis. It supports the Model Context Protocol (MCP) and can be run locally or accessed via a web interface, making it valuable for AI researchers and developers.
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.
nvim-mcp is an open-source MCP server that allows AI-assisted control of the Neovim editor via msgpack-RPC. It provides a programmable interface for integrating AI features into Neovim workflows, enabling automation and enhanced coding productivity for developers.
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
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.
abrasio-mcp is an open-source MCP server that exposes the Abrasio agentic browser, allowing AI models to perform browser automation tasks. It is designed for developers and researchers building autonomous AI agents that require web interaction capabilities.
openclaw-skill-vetter-mcp is an open-source MCP server that scans and security-vets third-party AI agent extensions, providing risk scores and static analysis to help developers and security teams prevent vulnerabilities.
Minimal stdio MCP server for parallel task execution by AI agents
Ansible Knowledge MCP Server — module and role discovery, documentation, and skill generation for AI agents
kira-mcp is an open-source local MCP server for AI agents, providing YOLO-based UI-element detection, OCR, and full keyboard, mouse, and clipboard automation. It is designed for developers building autonomous agents that interact with desktop environments.
django-mcp-inspector is an open-source Python package that provides an MCP server to expose Django runtime information to AI agents. It allows developers to integrate AI-driven automation or monitoring into their Django projects by making internal state and metrics accessible. Ideal for developers building intelligent or autonomous systems on Django.
