MuleSoft for AI & agents
Make every system agent-ready — and keep it governed
AI agents are only as useful as the systems and data they can reach. PSTOX builds the MuleSoft integration and governance layer that turns your existing APIs into secure, agent-ready tools — so agents like Agentforce can discover them, act through them, and stay inside your rules. Canadian-based and bilingual, from architecture through production support.
Where MuleSoft fits between your agents and your systems
Agents, models, and applications sit on top. Your systems and data sit underneath. MuleSoft is the governed layer in between — the single, controlled path every request and response flows through.
The takeaway: agents and apps never touch your systems directly. Every request is brokered through the MuleSoft layer — where it’s secured, governed, and observed — before it ever reaches Salesforce, your ERP, or your data.
An agent without integration is a brain without limbs
AI agents are very good at reasoning and, on their own, unable to act. An agent can plan a refund, draft an order, or resolve a ticket in language — but none of it is real until it can read from and write to the systems that actually run your business.
That gap, between an agent’s intent and your systems of record, is an integration problem. It always has been. It’s why MuleSoft has moved to the centre of the agentic conversation: the agent is the brain, and the integration layer is what gives it hands. Without a governed connectivity layer, an “agentic enterprise” is a collection of smart assistants that can talk but can’t do.
And acting on production systems raises the stakes. You can let an agent answer a question imperfectly and move on; you cannot let it issue a refund, change an order, or touch customer data without strict guardrails. The same layer that lets agents reach your systems is where you enforce what they’re allowed to do — and see everything they actually did. That layer is the work we do.
From existing APIs to governed agent tools
We meet you wherever you are on MuleSoft and make your estate safely usable by AI agents — without rebuilding what already works.
Expose APIs as agent tools
Turn your existing MuleSoft APIs and applications into MCP servers that agents can discover and call — no rebuild of the underlying integrations.
Ground agents in trusted data
Connect agents to real-time, accurate data from your systems of record, so their actions are based on what’s actually true right now.
Govern every action
Access control, allow and deny lists, rate limits, and audit logging on every agent request — enforced through Agent Fabric and Flex Gateway.
Observe & orchestrate
Full visibility across agents, models, and APIs from one control plane — plus multi-agent and A2A orchestration when agents need to work together.
AI & agent integration, answered
What does it actually mean to make a system “agent-ready”?
It means making your systems and data safely usable by AI agents. In practice that’s three things: exposing your existing APIs and applications as tools an agent can discover and call, grounding the agent in real-time data from your systems of record, and putting governance around what the agent is allowed to do. We build that layer on MuleSoft so agents act through a controlled path, never directly against production systems.
Can our existing MuleSoft APIs work with AI agents without a rebuild?
Generally, yes. MuleSoft can turn existing APIs and Mule applications into MCP servers — the open standard agents use to discover and call tools — without changing the underlying integration code. Years of integration investment become assets agents can use. We assess your current APIs and expose the right ones as governed tools, with the right scopes and guardrails.
What is MCP, and why does it matter here?
MCP (Model Context Protocol) is an open standard that lets AI agents discover and call external tools and data in a consistent way. It matters because it’s how an agent reaches your systems without a bespoke, brittle integration for every model. MuleSoft supports MCP and the agent-to-agent (A2A) protocol, so your integration layer speaks the same language agents do.
How do you stop an AI agent from doing something harmful to our systems?
Governance is the whole point of putting MuleSoft in the middle. Agents never touch your systems directly — every request is brokered through the integration layer, where access control, allow and deny lists, rate limits, and audit logging apply. Agent Fabric and Flex Gateway give you policy enforcement and observability across every agent and API call, so you can see and constrain exactly what agents do.
Do we need Salesforce Agentforce to use this?
No. Agentforce is one agent platform MuleSoft works closely with, but the same MCP-based approach exposes your APIs to other agents and models too. If you’re on Agentforce, the fit is especially tight; if you’re not, you still get a governed, agent-ready layer that’s portable across platforms rather than locked to one.
Is this only for companies already on MuleSoft?
No. If you’re already on MuleSoft, we make your existing estate agent-ready faster. If you’re not, we help you stand up the integration and governance layer from the ground up — and we’ll give you an honest read on whether MuleSoft is the right fit before you commit. Either way, we start with an assessment.
Ready to make your stack agent-ready?
Tell us which systems your agents need to reach. We’ll map the path, the governance, and an honest assessment of
what it takes — no commitment.