Lunar.dev MCP Gateway (MCPX) is a commercial Agentic AI Security tool developed by Lunar.dev. Security professionals most commonly compare it with Onyx Platform, Promptfoo MCP Proxy, Raven Runtime AI Agents, Archestra Enterprise MCP Platform, and Evoke Security. All 48 alternatives are matched by shared capabilities, tags, and NIST CSF 2.0 coverage.
A closer look at the 8 most relevant alternatives and competitors to Lunar.dev MCP Gateway (MCPX), including their key features and shared capabilities.
AI control plane for enterprise AI agent security, governance, and observability.
Shares 5 capabilities with Lunar.dev MCP Gateway (MCPX): LLM Security, Agentic AI Security, MCP Security, AI Governance +1 more
Proxy layer for controlling and monitoring MCP server access in AI apps.
Shares 5 capabilities with Lunar.dev MCP Gateway (MCPX): AI Gateway, Agentic AI Security, MCP Security, AI Governance +1 more
Runtime platform to discover, monitor, and control AI agents in production apps.
Shares 5 capabilities with Lunar.dev MCP Gateway (MCPX): Observability, LLM Security, Agentic AI Security, AI Governance +1 more
Enterprise platform for securing, governing, and orchestrating MCP servers and AI agents.
Shares 5 capabilities with Lunar.dev MCP Gateway (MCPX): LLM Security, Agentic AI Security, MCP Security, AI Governance +1 more
Agentic AI security platform for inventory, posture mgmt, and threat detection.
Shares 4 capabilities with Lunar.dev MCP Gateway (MCPX): LLM Security, Agentic AI Security, MCP Security, AI Governance
Security & governance platform for evaluating and securing enterprise AI systems.
Shares 4 capabilities with Lunar.dev MCP Gateway (MCPX): LLM Security, Agentic AI Security, AI Governance, AI Observability
AI agent testing platform for security, reliability, and behavior validation.
Shares 4 capabilities with Lunar.dev MCP Gateway (MCPX): LLM Security, Agentic AI Security, AI Governance, AI Observability
MCP governance platform for securing and controlling enterprise AI agents.
Shares 4 capabilities with Lunar.dev MCP Gateway (MCPX): LLM Security, Agentic AI Security, MCP Security, AI Governance
AI control plane for enterprise AI agent security, governance, and observability.
Proxy layer for controlling and monitoring MCP server access in AI apps.
Runtime platform to discover, monitor, and control AI agents in production apps.
Enterprise platform for securing, governing, and orchestrating MCP servers and AI agents.
Agentic AI security platform for inventory, posture mgmt, and threat detection.
Security & governance platform for evaluating and securing enterprise AI systems.
AI agent testing platform for security, reliability, and behavior validation.
MCP governance platform for securing and controlling enterprise AI agents.
AI agent discovery & security posture mgmt for enterprise agentic ecosystems.
Runtime security platform for monitoring AI agents on enterprise endpoints.
Pre-launch security platform targeting agentic AI enterprise environments.
Free tool that scans AI agent skill URLs for malicious activity before install.
Open-source CLI scanner for detecting security risks in AI agent skills.
AI-native identity security platform for managing AI agent access risks.
NLP-based security scanner for AI agent skill files detecting behavioral threats.
Agentic AI security platform with continuous scan, analyze, remediate & evaluate loop.
Zero-trust security & governance platform for autonomous agentic AI systems.
Governance and security platform for agentic AI in regulated enterprise workflows.
Runtime security platform for AI agents with discovery, observability, and enforcement.
Security scanner and verifier for AI agent tools, MCP servers, and plugins.
CLI scanner that detects security threats in AI agent skills before installation.
Security scanner that analyzes OpenClaw AI agent skills for malicious behavior.
Enterprise MCP gateway for managing, securing & controlling AI agent access to systems
Security gateway for monitoring and protecting MCP-based AI agent tool calls.
Secure gateway platform for governing AI agent MCP server access in enterprises.
AI security platform protecting agentic AI systems from runtime exploits.
AI agent kill switch with 6-level graduated response and 7-layer termination.
AI agent security platform providing visibility, risk mgmt & governance
Open-source control plane for MCP tool traffic with inline policy enforcement
Enterprise security platform for AI agents from Permit
Agent-based security solution for MCP chains and AI agent tool usage
Security skill suite for OpenClaw AI agents with hardening capabilities
AI agent security platform for Web3 with audits and breach prevention
Security platform for AI agents with real-time behavior monitoring & control
Security layer for OpenClaw AI agents protecting against prompt injection attacks
Runtime Control plane for governing multi-step AI agent workflows with zero-trust.
Gateway for controlling AI agent access to tools and data with permissions
Secures MCP sessions in AI dev environments via proxy, discovery, and policy enforcement.
AI security platform for red teaming AI agents, GenAI apps, and ML models
AI agent governance and security platform for visibility and control
Platform for monitoring, governing, and remediating AI agent actions
Runtime security gateway for multi-agent AI systems with policy enforcement
API-first security platform protecting AI agents and AI-enabled APIs
Secure infrastructure for deploying and executing AI agent workloads.
AI red teaming platform for testing agents, RAG, tools, and MCP servers
GenAI runtime visibility and governance platform for LLM traffic management
Provides real-time monitoring and oversight for agentic AI systems
Common questions security professionals ask when evaluating alternatives and competitors to Lunar.dev MCP Gateway (MCPX).
The most popular alternatives to Lunar.dev MCP Gateway (MCPX) include Onyx Platform, Promptfoo MCP Proxy, Raven Runtime AI Agents, Archestra Enterprise MCP Platform, and Evoke Security. These Agentic AI Security tools offer similar capabilities and are frequently compared by security professionals evaluating their options.
