How Salesforce’s Open Ecosystem Is Driving Trusted Agent Interoperability

The promise of AI lies in its ability to transform businesses with digital labor, where AI Agents 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?

Salesforce recently announced the next major leap in open, trusted AI with native Model Context Protocol (MCP) support for its digital labor platform Agentforce, which will be in pilot in July, and support for MCP servers on AgentExchange, 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.

Why this matters
Most AI adopters believe an open ecosystem will be ...