{"id":88172,"date":"2025-06-25T09:00:00","date_gmt":"2025-06-25T16:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=88172"},"modified":"2025-08-20T14:17:06","modified_gmt":"2025-08-20T21:17:06","slug":"open-ecosystem-drives-trusted-agent-interoperability","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/news\/stories\/open-ecosystem-drives-trusted-agent-interoperability\/","title":{"rendered":"How Salesforce\u2019s Open Ecosystem Is Driving Trusted Agent Interoperability"},"content":{"rendered":"\n

The promise of AI lies in its ability to transform businesses with digital labor, where AI agents<\/a> work alongside humans. However, unleashing its potential has presented a paradox for companies: How do they embrace an open, collaborative ecosystem for innovation without sacrificing security and governance, typically associated with closed platforms that interact only with a select few systems?<\/p>\n\n\n\n

Salesforce recently announced<\/a> the next major leap in open, trusted AI with native Model Context Protocol (MCP) support for its digital labor platform Agentforce<\/a>, which will be in pilot in July, and support for MCP servers on AgentExchange<\/a>, the trusted Agentforce marketplace. Until now, tech partners have faced a tangle of one-off agent API integrations and closed AI stacks. Salesforce is opening a new path: native agent interoperability, built on open standards, and with enterprise trust controls.<\/p>\n\n\n\n

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