The Enterprise Gateway for AI Agents and AI Workloads
Unify every call your agents make to APIs, LLMs and MCPs in a single, secure gateway. Govern traffic, costs and model selection with enterprise‑grade control.
Production‑Grade Infrastructure for AI & API Workloads

Observability
See every API and model call in one place, including agent‑driven requests.
Governance
Set limits, priorities and fallbacks to control how agents consume APIs, LLMs and MCP resources.
Scale
Built for enterprise scale: handle surges while keeping latency low and error rates down.
Govern Every Layer of Your AI Workload
Lunar.dev unifies control over every outbound call your agents or AI application makes — whether it’s to LLMs, third‑party APIs or MCP‑enabled tools. With comprehensive governance and observability built in, you can optimize costs, enforce policies and keep your AI workloads resilient.
Control & optimize calls to LLMs
Full Observability
Track every LLM call with visibility into token usage, cost, latency and errors
Production‑Grade Infrastructure
Self‑hosted clusters with minimal latency and high throughput let you scale AI workloads confidently
Smart Routing & Fallback
Load‑balance across providers and define fallback flows to ensure uninterrupted service
Securely govern access to tools and APIs
Centralized Tool Registry
Consolidate multiple MCP servers into a single gateway, making it easy to discover and manage tools.
Fine‑Grained Access Controls
Define permissions for agents and users so only authorized actions can be performed.
Auditing & Enterprise Visibility
Set budget thresholds to manage costs and optimize API usage within financial limits.

Comprehensive Stack Governance for Your Agents
Single Control Plane
Orchestrate every call, LLMs, APIs and tools, from one gateway, eliminating silos and simplifying architecture.
Cross‑Agent Coordination
Manage interactions between multiple agents or microservices; enforce priorities, quotas and budgets across all channels.
Holistic Observability & Resilience
Combine metrics and auditing across LLMs, MCP tools and APIs to get a full picture of performance; apply global fallback rules to maintain uptime.
Measurable impact
Measure the improvement of your API and AI consumption, costs, and errors.
Improvement in rate limit utilization by proactively managing quotas and enforcing client-side rate limiting.
Case studyOf companies spend more time fixing APIs rather than building new features.
Case studyReduction in API dependency downtime by implementing fallback mechanisms
Case studyOf companies report that third-party API related issues require weekly attention
Report
Fault-Tolerant Infrastructure for Governing AI Across the Enterprise
As AI tools and co-pilots spread across teams, organizations face the challenge of governing and monitoring how every user interacts with LLMs, MCP tools and APIs. Lunar.dev provides the infrastructure to enforce policies, maintain visibility and ensure uninterrupted performance - even at enterprise scale and under heavy traffic peaks.
Deploy Across the Enterprise
Roll out Lunar.dev anywhere your AI agents and co-pilots run, from developer sandboxes to production clusters, while maintaining unified governance across all users and teams.
Fail-Safe Governance by Design
Built with a gateway
Built-in pass-through, fallback and re-routing ensure requests to LLMs, MCP tools or APIs succeed under policy guardrails, even if individual services fail.Scalable Gateway Clusters for AI Agents
Handle surges in requests from hundreds or thousands of enterprise users without sacrificing latency or control.
Infrastructure & Integration Agnostic
Works in any cloud or on-prem environment, connecting seamlessly to your LLM providers, MCP servers and existing API ecosystem.
Low-Latency Policy Enforcement
Apply access rules, quotas and routing logic with only milliseconds of overhead.
Enterprise-Wide Visibility & Auditing
Monitor and log every call made by any user’s agent to any tool or API, giving security and compliance teams full oversight.
Governance Policies for AI & Co‑Pilots
Simplify governance of AI workloads with Lunar.dev Flows. You can cap requests, set task priorities, manage access, monitor usage, retry failures, and route across providers, all ensuring efficient, compliant, resilient agents and applications.
Rate Limiting
Prevent over-consumption and stay within provider quotas by capping request rates per user, team, agent or endpoint.
Priority Queue
Ensure high-value or mission-critical agent tasks are processed first, with configurable queue tiers for different workloads.
Access Controls
Define who and what can access specific LLMs, MCP tools or APIs, down to individual actions, parameters or resource scopes.
Fallback & Retries
Automatically retry failed calls and redirect to backup models or services to keep agents responsive during outages or provider degradation.
Routing Between Models
Direct traffic to the most appropriate model or service based on cost, latency, performance or policy
Your Team Should Build AI Experiences, Not Gateways.
Skip the heavy lifting:
Use built‑in rate limiting, priority queues, access controls, observability, fallback and model routing instead of building them yourself.Enterprise‑ready:
Get proven scalability, reliability and security from day one—no infrastructure team required.Stay focused on Innovation:
Let your engineers deliver AI features while Lunar.dev handles governance and performance.
Frequently asked questions
What is self-managed and what is SaaS?
You deploy the Lunar.dev gateway in your own cloud (self‑managed) so API and agent payloads never leave your environment. The optional SaaS control plane provides a hosted dashboard using only aggregated telemetry and metadata.
What’s the difference between the free version and the paid versions?
The free tier supports one gateway instance with core flows. Paid plans provide gateway clustering for high availability, more throughput and advanced flows with tailored policies.
Will my API calls experience increased latency?
The gateway adds only a few milliseconds of overhead, even at peak load—negligible compared with network latency.
For more details, you can review our comprehensive latency and benchmarking analysis and report of how we benchmark.
Is sensitive data stored by lunar.dev?
No. Payloads and API calls remain within your infrastructure. Only optional system metrics are transmitted to the SaaS dashboard.
Are there two solutions or a single one?
The MCP Gateway and Lunar AI Gateway can be deployed as standalone solutions. However, integrating them unlocks the full power of an agentic gateway. Book a demo to learn more.
Is Lunar.dev a SaaS solution?
In addition to our OSS and self-hosted version, you can request access to our beta SaaS version, and inquire more information at info@lunar.dev.
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.