Enterprise AI Governance, One Control Point
Govern all agentic traffic in real time with enterprise-grade security and control. Deploy safely on-prem, in your VPC, or hybrid cloud.
Powering Modern Companies
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One AI Gateway to Govern All LLM, MCP, and API Traffic
Lunar.dev provides a single control point to govern all agentic traffic — LLMs, MCP tools, and APIs, enforcing real-time policies, visibility, and security across your entire AI stack.
Observe
Track every model, tool, and agent interaction live.
Enforce
Control agent access with RBAC, rate limits, and cost policies.
Secure
Protect enterprise data and ensure safe, compliant agent adoption.
The Foundation for Safe and Compliant AI Adoption
To safely adopt AI at scale, enterprises must observe and govern every layer of agentic traffic — from model calls to tool access. Lunar.dev provides a unified AI Gateway that enforces policy, ensures compliance, and keeps innovation flowing securely.
Measure and monitor usage
Track model calls, costs, and latency across LLMs.Guardrails
Apply budgets, rate limits, and redact sensitive data.Routing between models
Optimize performance and cost by dynamically routing requests across LLM providers.
MCP Registry
Build an approved catalog of tools and connectors for enterprise use.
RBAC
Assign scoped, isolated environments for agents to access resources safely.
Customization
Configure and extend tools according to company policy and compliance standards.
Controlled testing
Test agent and MCP behavior in a secure sandbox before production.
Lineage analysis
Understand relationships between agents, LLMs, MCP tools, and APIs.
Risk evaluation
Detect security exposures and performance regressions before deployment.
Lunar.dev is proud to be recognized by Gartner as a Representative Vendor in both AI Gateways (2024, 2025) and MCP Gateways (2025) categories.
Enterprise‑Grade Assurance
Your data, your rules—secure operations across any environment.
Trusted Compliance & DLP Safeguards
SOC 2 certified to protect sensitive information. Built‑in DLP via the Lunar Gateway detects and stops data leaks.
Unified Oversight & Role Management
Single Sign‑On, granular roles, and comprehensive audit logs give you end‑to‑end control over every user and agent action.
Dedicated Support & Fault‑Tolerant Design
Around‑the‑clock enterprise support and SLA‑driven response times, backed by an architecture optimized for resilience.
Private Deployment & Data Sovereignty
Run MCPX within your own cloud or on‑premises environment; nothing leaves your domain, so data remains under your full control.
Security for AI Agents in the Enterprise
Enable AI agents, without compromising security standards.
Access Controls
Define granular permissions for users, agents, and tools with RBAC and scoped environments.
Audit & Logging
Record every model call, API request, and tool invocation with immutable, SIEM-ready audit trails.
Data Redaction
Automatically sanitize PII, credentials, and sensitive payloads before data leaves your network.
Secure Tool Registry
Maintain a curated, approved catalog of MCP tools and APIs that meet enterprise compliance standards.
Tool Customization
Tailor MCP tool behaviors to enforce security, masking, or access rules consistent with internal policy.
Rate Limiting
Apply live budgets, request throttling, and quota enforcement to prevent misuse or runaway costs.
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Frequently asked questions
Can we evaluate MCP servers for safety before using them broadly?
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.
How does MCPX handle authentication for remote MCP servers?
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.
How does MCPX help secure and standardize tool behavior used by AI agents?
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.
How can we ensure our data remains fully protected when using MCPX?
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.
How can I manage an internal MCP registry?
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.
See Lunar.dev in Action
See Lunar.dev’s Agentic Gateway in action, combining AI Gateway and MCP Gateway for full governance over AI agents, tools and APIs. Discover how centralized management, observability and policy controls can scale across your entire organization.
