AI Gateway
Every AI interaction, under one control plane.
Route requests intelligently, govern every model interaction, and track spend across your enterprise — without adding new infrastructure or rebuilding what already works.
Intelligent routing and unified LLM access.
Connect to any provider through a single endpoint. Requests are routed automatically based on content, cost, and availability — so the right model handles the right task, every time.
Make existing APIs agent-ready with MCP Bridge.
Expose production APIs as agent-usable tools without rewriting services or weakening governance. Agents get scoped, policy-bound access to your systems through the same gateway you already run.
Govern every agent interaction with A2A support.
As agents collaborate across your enterprise, Flex Gateway enforces security, compliance, and observability at every step — bidirectionally, across every protocol.
Built for the scale AI demands, and the control enterprise requires.
As LLM usage multiplies across teams, so does the complexity of managing it. AI Gateway gives platform and security teams a single point to govern model access, enforce policy, and keep costs accountable — across every provider, every team, and every agent interaction.
Scale LLM usage without losing visibility or control.
One endpoint, every provider. AI Gateway gives platform teams unified access, intelligent routing, and full cost visibility across all LLM usage in the enterprise.
Stitch together multiple AI agents and tools behind the scenes to quickly deliver the optimal response to every prompt.
Developers authenticate once and call a single endpoint, regardless of whether the model behind it is OpenAI, Anthropic, Gemini, or Bedrock.
Granular usage reporting gives FinOps teams the chargeback data they need without manual reconciliation — and rate limits ensure overages don't happen in the first place.
Make every API you already own agent-ready.
MCP Bridge exposes your existing production APIs as agent-usable tools — through the gateway layer, with no rewrites, no new runtimes, and no governance trade-offs.
Teams define MCP tools that map to approved API operations, making existing capabilities available to agents without modifying the services behind them
Authentication, rate limiting, and observability policies already applied to your APIs extend automatically to agent traffic — no per-use-case configuration needed.
A single endpoint can safely span different systems without embedding orchestration logic into agents themselves, keeping your architecture clean as adoption scales.
Keep agent-to-agent interactions as governed as everything else.
As agents take on more complex, collaborative work across your enterprise, Flex Gateway enforces security, compliance, and observability across every A2A interaction — bidirectionally, at the protocol layer.
Only authorized agents can invoke other agents, with identity propagated through every interaction so nothing acts outside its permitted scope.
Every agent-to-agent and agent-to-application interaction is logged and auditable — giving operations teams the context to debug, optimize, and demonstrate compliance.
Spike control and schema validation policies keep agent infrastructure stable when traffic spikes or requests arrive in unexpected formats.
Blog
MuleSoft Agent Fabric Deep Dive.
Explore this deep dive on MuleSoft Agent Fabric to learn how to orchestrate and govern a secure network of enterprise AI agents.
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See intelligent routing and cost management in action.
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The state of enterprise connectivity in the age of AI.
See how IT leaders are approaching integration, automation, and AI adoption in 2026 — and where the gaps between ambition and execution are widest.
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AI Gateway Frequently Asked Questions
A single governed control plane for every AI interaction across your enterprise — covering LLM traffic, MCP tool access, and agent-to-agent communication, built on the same Flex Gateway infrastructure MuleSoft customers already run.
LLM capabilities govern how applications access AI models; MCP support governs how agents access enterprise systems and data; A2A support governs how agents communicate with each other — together covering the full spectrum of enterprise AI activity under one policy and observability layer.
AI Gateway supports OpenAI, Azure and Google Gemini out of the box, with new models onboardable without application changes and automatic fallback routing if a provider goes down.
Platform teams configure a single logical endpoint for all approved models, and semantic routing automatically directs each request to the most appropriate — and cost-effective — model based on prompt content, with token usage tracked by business group and application.
MCP Bridge exposes existing enterprise APIs as agent-ready MCP tools directly at the gateway layer, with no backend modifications required — security policies, access controls, and audit logging are all inherited automatically.