Beyond an MCP Gateway: Control every AI interaction across your enterprise
A unified, enterprise-grade gateway to secure and govern all AI applications and agents
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Enterprises are adopting AI faster than they can control it
Security and IT lack the visibility and control to manage how AI applications and agents access enterprise systems
Accountability gap
No reliable way to answer who used which agent, which tool, and what data was accessed
AI Sprawl Without Control
A growing mix of internal agents, third-party AI apps, and unvetted MCP servers creates fragmented, hard-to-govern environments
Broken access paradigm
Agents often run over-privileged compared to the human initiating the task
Accountability gap
No reliable way to answer who used which agent, which tool, and what data was accessed
AI Sprawl Without Control
A growing mix of internal agents, third-party AI apps, and unvetted MCP servers creates fragmented, hard-to-govern environments
The agent-native gateway for governed AI adoption
Lunar centralizes how agents and AI apps authenticate, discover tools, and access enterprise resources, with full observability and enforceable policies
1. It all starts with observability
Capture full lineage across user, agent, model, MCP server, and final tool or API invocation.
2. Enforce enterprise access controls at the gateway
Standardize tool access with an admin-vetted MCP catalog, and validate risk before rollout.
Skills and tools, unified at the gateway
Skills are the knowledge layer, MCP is the connectivity layer, and Lunar unifies both at the gateway.
Equip agents with Skills that combine workflow knowledge and tools across your MCP servers, governed at the gateway by design.
Authentication, RBAC, audit, and versioning apply to every Skill, every agent, every call.
A dedicated focal point for every agent-to-resource interaction
Lunar.dev sits between employees and agents, and the tools and systems they use, MCP servers, APIs, and LLM providers, so governance is centralized by design.
“Our mandate was to enable AI adoption across the business while maintaining security posture.
MCPX allowed us to govern MCP usage holistically, without slowing engineering or business teams.”
“Lunar is a great partner. It’s working within our VPC, the data is not going out anywhere and I can sleep better at night”
“The engineering team was making hundreds of millions of weekly API calls to Microsoft 365. This was essential for real-time scanning of emails.”
Faster AI Adoption. Zero Loss of Control.
Adopt an enterprise MCP gateway now, then unify governance across LLM and API traffic as usage scales.
Frequently asked questions
Yes. Lunar.dev performs automated risk analysis that identifies safety and compliance concerns. After review, the server can be tested in a sandbox environment so you can verify behavior before allowing it into production.
MCPX supports several methods: basic API-key authorization, standard OAuth flows, and “Static OAuth” (e.g. OAuth 2.0 Client Credentials or Device Flow). You can integrate it with your identity provider or OAuth app, avoiding manual token management.
MCPX allows you to customize tool behavior by hardening parameters, rewriting descriptions and limiting which actions are exposed. This helps ensure that each tool operates within your organization’s safety, compliance and performance guidelines.
MCPX is fully self hosted, so it runs entirely inside your infrastructure. You can deploy it locally with Docker or in your own Kubernetes cluster using the Helm chart, which keeps all MCP traffic, configurations and logs within your security boundary.
MCPX Enterprise provides a Custom MCP Server Catalog that lets administrators publish and control which MCP servers are available across the organization. It supports curated, team specific catalogs and follows Anthropic’s MCP Registry specifications as they evolve.
