Agent Fabric gives you one control plane to see, connect, govern, and optimize AI across your enterprise. Gain visibility into every agent, API, and MCP tool, give agents the capabilities they need to take action, apply consistent governance, and align AI costs to business value.
AI is spreading across the enterprise faster than teams can manage it. Agents are being built across platforms, but too many can’t take meaningful action, get stuck in pilot, or become increasingly difficult and expensive to manage as they scale.
Agent Fabric gives you a single control plane across your AI ecosystem. See what exists, connect agents to the systems and capabilities you already have, apply governance consistently across platforms, and optimize AI costs as you scale.
Move from AI experimentation to AI that delivers real business outcomes.
Click through an interactive tour to see how Agent Fabric transforms scattered AI tools into a tightly managed and coordinated agent network that enables you to scale with confidence.
Gain a single, cross-platform view of your AI ecosystem. Discover what exists across your enterprise and understand how your agents, APIs, and MCP tools connect.
Connect agents to the systems, APIs, data, and processes you already have so they can move beyond answering questions and actually get work done.
Apply consistent security and governance across agents built on any platform, removing IT bottlenecks and helping high-value AI move from pilot to production faster.
See where AI spend is going, intelligently optimize workloads, and control costs so your AI investments scale with the value they deliver.
Gain a single, cross-platform view of your AI and integration ecosystem. Agent Fabric continuously discovers agents, APIs, and MCP tools across your enterprise, bringing them into one authoritative registry so you can understand what exists, where it lives, and how it connects.
Create a single source of truth for every agent, API, and MCP tool across your enterprise. Bring assets together from the platforms where they’re built and deployed so teams can discover, manage, and reuse them.
Automatically detect and register AI agents, MCP servers, and APIs running across popular ecosystems such as Amazon, Google, Microsoft, Claude, Databricks, Kong, and more directly into Agent Registry. This provides IT teams with real-time awareness of all active agents, ensuring every agent can be orchestrated and governed from day one.
Go beyond inventory to understand how your AI ecosystem connects. See the systems, assets and data catalogs an agent or MCP server interacts with, including relationships discovered through continuous scanning.
Give agents access to the enterprise capabilities they need to actually get work done. Connect agents to APIs, systems, data, and processes so they can take action across your business—not just provide answers.
Make existing APIs agent-ready in minutes by exposing them as MCP tools. Give agents access to the business capabilities you’ve already built without rebuilding your integrations.
Route work across agents and tools to help complete multi-step processes. Coordinate the right agents, systems, and people to move work from request to action.
Standardize agent communication on A2A protocol by using pre-built connectors to make any agent A2A-compliant so that agents across ecosystems can collaborate seamlessly.
Agent Fabric provides a universal layer of governance across your AI ecosystem. Apply consistent security and governance policies across agents built and deployed on different platforms—without requiring IT and security teams to recreate those controls platform by platform.
Apply and enforce policies across agents, models, and MCP tools through a unified gateway. Centralize control over AI interactions without manually configuring every agent.
Give agents the right identity and permissions to securely perform actions on behalf of users, with interactions that are authorized and auditable.
Maintain control over agents in production with the ability to quickly stop agent activity when needed.
As AI scales, so does the cost of running it. Agent Fabric gives you visibility and control over AI usage so you can manage spend, optimize workloads, and make smarter decisions about where AI delivers the most value.
Set spending limits and apply policies across AI workloads to keep usage within business and operational requirements.
Route AI workloads to the right model based on the needs of the task, balancing model performance and cost.
Optimize LLM & MCP usage and payloads to reduce unnecessary token consumption and control the cost of agent interactions.
Agent Fabric gives us the foundation to orchestrate thousands of agents at scale, securely and in real time. It’s more than coordination—it’s the connective tissue for the next generation of enterprise intelligence. By unifying disparate agents into one secure fabric, we help customers evolve from isolated automations to a fully orchestrated, adaptive ecosystem.
Greg ShewmakerChief Executive Officer, r.Potential
How MuleSoft Agent Fabric helps enterprises discover, orchestrate, govern, and observe AI agents.
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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Agent Fabric is an enterprise agent control plane that enables organizations to discover, govern, orchestrate, and observe any agent, AI asset, and agentic workflow from a single control plane. It includes enhancements to existing products and new product capabilities built on MuleSoft.
Agent Fabric is a solution that includes five main capabilities:
Enterprise actionability: MuleSoft MCP and A2A support make any API and agent usable in your agentic workflows. Additionally, use MuleSoft AI Connectors as well as Intelligent Document Processing, Robotic Process Automation, and Partner Manager to connect any LLM or vector database, as well as unstructured, legacy, and partner/EDI data.
Agent discovery: Agent Registry is a centralized location where AI assets are cataloged, easy to find, and ready to be reused or composed into solutions. It includes a curated list of public MCP servers from the Official MCP Registry and from third parties such as Informatica. Additionally, Agent Scanners automatically find and register agents and MCP servers built on major platforms like Amazon Bedrock and Agentcore, and Google Vertex AI.
Agent orchestration: Agent Broker is an intelligent routing service that orchestrates agents and tools across ecosystems, ensuring they can work across the right resources at the right time. With the adoption of Agentforce Script, Agent Broker supports guided determinism which is the ability to balance fixed rules with LLM flexibility, resulting in more consistent and reliable outcomes.
Agent governance: MuleSoft AI Gateway provides a single control point to manage costs, usage, and security and compliance across all of your agents, MCP servers, and LLMs. Additionally, Trusted Agent Identity helps ensure that agents act with a specific user’s identity and proper authorization to keep every agent interaction secure and auditable.
Agent visualizer: Agent Visualizer provides a visual map of your agent network and associated domains. It shows how agents are interacting and includes metrics like confidence scores, bottleneck detection, and hallucination risks.
Agent Fabric is generally available today with new and enhanced capabilities rolling out each month.
Choose to begin your agentic journey with foundational capabilities like making your data foundation accessible to agentic workflows by using our MCP capabilities. You can also focus on discovering and registering all of your agentic assets so that they can be properly managed and governed. Or build your Agentic Enterprise end-to-end with discovery, governance, and orchestration. Get in touch with your account team to get started.
Agentforce is an Agent Platform where you can build, run, and optimize interoperable agents within Salesforce with full lifecycle coverage, trusted context, and controlled behavior. Agent Fabric is an agent control plane that provides a single pane of glass to register, manage, govern, and observe all of your agents and MCP endpoints. Both are powered by the same engine for defining instructions for how agents handle interactions and how they reason, plan, and act — allowing your agentic workflows to interoperate across different platforms.
