TL;DR: MuleSoft Agent Fabric is an enterprise platform that enables organizations to centrally discover, orchestrate, govern, and observe AI agents — regardless of where they were built. With Agent Registry, Agent Broker, MCP support, and Flex Gateway security, Agent Fabric solves the biggest challenge of agentic transformation: losing control over a growing number of autonomous AI systems.
Imagine this: your customer service team uses an Agentforce agent, accounting has its own AI assistant built on Amazon Bedrock, marketing works with a LangChain-based content agent, and someone in IT is experimenting with a Claude agent for code reviews. Four teams, four agents, four different platforms — and nobody has the overview.
This scenario isn't a vision of the future. It's the reality in more and more enterprises. And it carries significant risks.
The Problem: AI Agents Without Orchestration Fail
The MuleSoft 2026 Connectivity Benchmark Report, based on insights from over 1,000 IT leaders, paints a clear picture:
- 88% of organizations are already on the path toward agentic transformation
- 50% of AI agents operate in isolated silos — without connection to other agents or systems
- 86% of IT leaders warn that agents without proper integration create more complexity than value
- Only 54% of organizations have a framework for centralized agent governance
The result: Shadow AI. Similar to the uncontrolled SaaS adoption a decade ago, AI agents are emerging in departments without IT teams having visibility or control. Security gaps, compliance violations, and redundant systems follow.
MuleSoft Agent Fabric addresses exactly this problem.
What Is MuleSoft Agent Fabric?
MuleSoft Agent Fabric is a solution on the Anypoint Platform that provides four central capabilities for managing AI agents in enterprises: Discover, Orchestrate, Govern, and Observe.
What makes it special: Agent Fabric is vendor-agnostic. It manages and orchestrates agents regardless of where they were built — whether in Salesforce Agentforce, Amazon Bedrock, Google Vertex AI, Microsoft Copilot Studio, or a custom framework.
The Four Pillars in Detail
1. Discover — Agent Registry
Agent Registry is built on MuleSoft's proven Exchange and serves as a central catalog for all AI agents and MCP servers in the enterprise. All AI assets are registered, documented, and made discoverable for teams.
Agent Scanners complement the Registry through automatic detection: they scan platforms like Amazon Bedrock, Google Vertex AI, and Microsoft Copilot Studio, automatically registering running agents into the Registry. IT teams gain real-time transparency over all active agents — including those created without their knowledge.
Additionally, the Registry provides access to a curated list of remote MCP servers from established vendors. Teams can leverage trusted, vendor-supported MCP servers instead of building their own from scratch.
2. Orchestrate — Agent Broker and MCP Support
The orchestration layer connects agents, APIs, and MCP servers into coordinated workflows.
The MuleSoft MCP Connector transforms existing applications and APIs into agent-ready assets. Agents can automatically discover, invoke, and use these assets for complex workflows — without additional integration effort. Existing APIs become immediately interoperable within multi-agent ecosystems.
The MuleSoft A2A Connector (Agent-to-Agent) standardizes direct communication between agents. Teams can ensure that agents from different platforms collaborate seamlessly — with enterprise-grade security policies and the reliability needed for production operations.
The Agent Broker is the heart of orchestration: an intelligent routing service that organizes AI agents and MCP servers into business-focused domains and dynamically routes tasks across them. Powered by your LLM of choice and connected via A2A and MCP, the Agent Broker enables even the most complex, multi-step processes to execute seamlessly across diverse agents and systems.
Practical example: A customer asks about their order status and simultaneously wants to initiate a complaint. The Agent Broker recognizes that two domains are involved (logistics and customer service), routes the order status request to a logistics agent and the complaint to a customer service agent. Both work in parallel and deliver a coherent response to the customer.
3. Govern — Flex Gateway and Policy Management
Governance is the layer that distinguishes Agent Fabric from proof-of-concept tools. Without governance, AI agents are a security risk. With governance, they become production-ready.
MCP Policies ensure that only authorized agents can access specific MCP servers. Through Attribute-Based Access Control (ABAC), IT teams can granularly define which tools are available to which agent in which context. A customer service agent may read order data but cannot change prices.
A2A Policies control agent-to-agent communication. They define which agents may interact, share data, or delegate tasks. Unauthorized collaboration is prevented without restricting legitimate workflows.
Flex Gateway provides the security infrastructure: OAuth 2.0, JWT validation, rate limiting, threat detection, and complete audit logging. All agent traffic — both MCP and A2A — is routed through the gateway and subject to the same proven security policies as regular API traffic.
4. Observe — Agent Visualizer and Monitoring
Transparency is the prerequisite for trust in AI systems. Agent Fabric offers two complementary observation layers:
The Agent Visualizer delivers a visual representation of the entire agent ecosystem. Teams can see at a glance how agents are connected, which MCP servers they use, and how tasks flow between domains. From the overview, they can drill into individual domains and relationships between agents.
Real-time monitoring tracks performance across all agents, APIs, and systems. With centralized monitoring and actionable insights, teams can quickly detect anomalies, troubleshoot errors, and ensure the digital workforce operates reliably at scale.
Agent Fabric + Agentforce — The Salesforce Connection
For enterprises already using Salesforce, the combination of Agent Fabric and Agentforce offers particular synergies. Agentforce agents are automatically cataloged in the Agent Registry and can collaborate with agents from other platforms via the Agent Broker.
A typical scenario: An Agentforce agent in sales identifies a cross-selling opportunity. Via the Agent Broker, it delegates the technical feasibility check to a specialized engineering agent (e.g., on Google Vertex AI) and the price calculation to a finance agent (e.g., on Amazon Bedrock). Results flow back into the Salesforce opportunity — fully automated but under complete governance control.
This Salesforce integration is enabled by MuleSoft's natural position as Salesforce's own integration platform. No other iPaaS provider offers this seamless connection between CRM agents and the broader agent ecosystem.
Practical Example: Multi-Agent System for Customer Service
A mid-sized e-commerce company with 2,000 customer inquiries per day implements a multi-agent system with Agent Fabric:
Agent 1 — Triage Agent (Agentforce): Receives all customer inquiries, classifies them, and routes them to specialized agents. Understands German and English, recognizes tone and urgency.
Agent 2 — Order Agent (Custom, MuleSoft): Accesses the ERP system via MCP. Answers questions about order status, delivery times, and returns. Can independently perform simple actions like address changes.
Agent 3 — Complaints Agent (Agentforce): Handles complaints and claims. Has access to CRM customer history and can independently issue credits up to a defined amount.
Agent 4 — Escalation Agent (Custom): Takes over complex cases that other agents cannot resolve. Prepares a structured summary for human employees and creates a ticket with all relevant context information.
Agent Fabric in action:
- Agent Registry: All four agents are cataloged with clear descriptions, responsibilities, and SLAs
- Agent Broker: Automatically routes inquiries to the right agent and coordinates multi-agent interactions
- Governance: The complaints agent may approve a maximum of €50 per credit. Above that, it automatically escalates. The order agent has read-only access to financial data.
- Monitoring: Every interaction is logged. Average response time, resolution rate, and escalation rate are monitored in real-time.
Result: 75% of inquiries are resolved fully automatically. Average handling time drops from 12 minutes to 90 seconds. Human employees focus on the 25% of complex cases.
Implementation: Getting Started with Agent Fabric
Phase 1: Discovery (2–4 Weeks)
- Inventory of all existing AI agents and AI tools in the company
- Configure Agent Scanners on existing platforms
- Catalog all agents in the Agent Registry
- Identify and document Shadow AI
Phase 2: Governance (2–3 Weeks)
- Define security policies for MCP and A2A traffic
- Configure Flex Gateway (authentication, authorization, rate limiting)
- Implement ABAC rules for existing agents
- Activate audit logging
Phase 3: Orchestration (4–6 Weeks)
- Define business domains (e.g., customer service, sales, finance)
- Configure Agent Broker with domain-specific routing rules
- Expose existing APIs as agent tools via MCP Connector
- Test and optimize multi-agent workflows
Phase 4: Monitoring and Optimization (Ongoing)
- Set up Agent Visualizer for the complete picture
- Define KPIs and create dashboards (response time, resolution rate, error rate)
- Regular reviews of agent performance and governance policies
- Identify new use cases and implement incrementally
Who Is Agent Fabric Right For?
Agent Fabric isn't the right solution for every company. The platform delivers full value when certain prerequisites are met:
Ideal prerequisites:
- At least 3–5 AI agents deployed or planned
- Multi-platform environment (not all agents on a single platform)
- Existing MuleSoft usage or Salesforce ecosystem
- Regulatory requirements demanding centralized governance
- Company size of 200+ employees
Less suitable for:
- Companies with only a single AI agent
- Purely experimental AI usage without production ambitions
- Organizations without existing integration infrastructure
If you're unsure whether Agent Fabric fits your situation, an assessment of your current AI landscape is a helpful first step.
Frequently Asked Questions
Do I need to be a MuleSoft customer to use Agent Fabric?
Agent Fabric is a product on the MuleSoft Anypoint Platform. Usage requires an Anypoint Platform license. Companies already using MuleSoft for system integration can activate Agent Fabric as an extension of their existing platform.
Can Agent Fabric manage third-party agents?
Yes — that's one of its core features. Agent Scanners automatically detect agents on Amazon Bedrock, Google Vertex AI, and Microsoft Copilot Studio. Via MCP and A2A connectors, agents from any platform can be integrated into the orchestration.
How does Agent Fabric differ from Agentforce?
Agentforce is Salesforce's platform for building AI agents within the Salesforce ecosystem. Agent Fabric is MuleSoft's platform for managing and orchestrating agents — regardless of where they were built. The two products are complementary: Agentforce agents can collaborate with agents from other platforms through Agent Fabric.
What does implementing Agent Fabric cost?
Costs depend on the complexity of your agent ecosystem and your existing MuleSoft contract. Typically, an implementation project includes license costs for the Anypoint Platform, implementation effort (6–12 weeks for initial setup), and ongoing operational costs. Contact us for an individual assessment.
Conclusion: Control Over Agentic Transformation
AI agents will be the next major enterprise paradigm. But without orchestration and governance, a loss of control looms that will dwarf the SaaS sprawl problems of the last decade. MuleSoft Agent Fabric provides the answer: a unified platform that brings agents — regardless of their origin — under centralized control.
For companies already using MuleSoft or Salesforce, the entry point is natural. For everyone else, Agent Fabric offers a compelling reason to consider MuleSoft as a strategic integration platform — not just for APIs, but for the entire agentic future.
Want to bring your AI agents under control and build an orchestrated multi-agent system? Contact us — as a MuleSoft partner, we'll help you implement Agent Fabric.