{"id":88169,"date":"2025-06-25T05:00:00","date_gmt":"2025-06-25T12:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=88169"},"modified":"2025-08-20T14:15:11","modified_gmt":"2025-08-20T21:15:11","slug":"mulesoft-agent-orchestration-capabilities","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/news\/stories\/mulesoft-agent-orchestration-capabilities\/","title":{"rendered":"New MuleSoft Innovations from Salesforce Enable Secure, Scalable AI Agent Orchestration for Agentic Transformation"},"content":{"rendered":"\n

MuleSoft Model Context Protocol (MCP) Support transforms any application or API into tools and resources for AI agents in a few clicks<\/em><\/p>\n\n\n\n

MuleSoft Agent2Agent (A2A) Support enables agents to communicate, collaborate, and take coordinated actions across the enterprise with governance<\/em><\/p>\n\n\n\n

New generative AI tools in MuleSoft\u2019s Integrated Developer Environment (IDE) allow developers to build integrations faster and accelerate project development<\/em><\/p>\n\n\n\n

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Salesforce today announced new MuleSoft AI capabilities that enable organizations to build a foundation for secure, scalable AI agent orchestration. These capabilities deliver essential support for AI agent<\/a> protocols, like Model Context Protocol (MCP) and Agent2Agent (A2A), by allowing customers to make any existing integration, API, and application accessible and understandable by AI agents and build multi-agent workflows with robust governance. And, with new generative AI development tools for increased developer productivity, MuleSoft<\/a> is helping organizations accelerate their transformation into agent-driven enterprises. <\/p>\n\n\n\n

With the recent launch of Salesforce Agentforce 3<\/a>, which includes native MCP support, customers can also use MuleSoft\u2019s new features to turn APIs<\/a> into MCP servers and extend Agentforce with new opportunities for agent interoperability without compromising control.<\/p>\n\n\n\n

For example, the new MuleSoft capabilities allow organizations to automate IT issue resolution to enhance customer experiences while enabling IT teams to focus on more strategic, high-value work. Customers can build an observability agent that detects a critical server error in an observability and security platform like Datadog (agent-to-system) and alerts the specialized database triage agent (agent-to-agent). They can also expand the workflow to enable the triage agent to then query a knowledge base for the error signature, identify the fix, and instruct a remediation agent to restart the appropriate cloud service and post a status update to Slack (agent-to-agent to agent-to-system).<\/p>\n\n\n\n

Why it matters<\/strong><\/h4>\n\n\n\n

As modern businesses adopt more AI agents and the number of applications and AI models they use multiplies<\/a>, their technology infrastructure becomes increasingly complex and siloed. In fact, integration is one of the biggest barriers between AI\u2019s promise and enterprise reality, with 95% of IT leaders<\/a> citing it as the top hurdle to making AI effective. The existing enterprise architecture is built for running applications, but it’s not equipped to manage thousands \u2014 or tens of thousands \u2014 of agents across the enterprise. This radical shift introduces an entirely new class of challenges around orchestration, integration, and governance. <\/p>\n\n\n\n

MuleSoft has long been a leader in helping organizations digitally transform for the AI era, empowering them with tools for integration, APIs, and automation. Now, as agents become central to an organization\u2019s competitive advantage, MuleSoft\u2019s agent orchestration<\/a> capabilities provide organizations with new tools for agentic transformation.<\/p>\n\n\n\n

Go deeper<\/strong><\/h4>\n\n\n\n

MuleSoft\u2019s new AI and agent-focused capabilities are critical in preparing customers for the autonomous enterprise.<\/p>\n\n\n\n

New agent orchestration capabilities include: <\/strong><\/p>\n\n\n\n

MCP support<\/strong><\/p>\n\n\n\n

MCP is rapidly gaining momentum as a standardized, open-source framework for enabling seamless and secure bidirectional communication between LLMs<\/a> or AI agents and diverse external systems like Salesforce. <\/p>\n\n\n\n

MuleSoft MCP Support<\/a> enables integrations with LLMs and enterprise systems with just a few clicks and provides agents with the ability to take action in any system with governance<\/a>. <\/p>\n\n\n\n