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Salesforce has introduced Salesforce Headless 360, a new approach that makes the Salesforce platform accessible through APIs, MCP tools and CLI commands, allowing AI agents to build, act and deliver experiences without requiring users to work through a traditional browser interface.
The launch marks a significant step in Salesforce’s vision for the Agentic Enterprise, where humans and AI agents work together across business processes, workflows and customer engagement channels. Instead of requiring people to manually navigate systems, Salesforce Headless 360 exposes platform capabilities so agents can securely access data, workflows and business logic from any surface.
Salesforce Headless 360 introduces three key innovations: new MCP tools and coding skills that give coding agents access to the platform; a new experience layer that renders rich, native interactions across surfaces such as Slack, Voice and WhatsApp; and new tools to help enterprises control how agents behave in production, before and after launch.
For developers, Salesforce said Headless 360 enables more flexible building on the platform, with more than 60 new MCP tools and over 30 preconfigured coding skills. These give coding agents live access to data, workflows and business logic directly from tools such as Claude Code, Cursor, Codex and Windsurf.
The company is also introducing Agentforce Vibes 2.0, which brings multi-model support, including Claude Sonnet and GPT-5, and greater organisational awareness into Salesforce development. Salesforce said DevOps Center MCP will also support natural language DevOps, allowing developers to describe what they want to deploy and let agents handle execution.
A major focus of the launch is the Agentforce Experience Layer, which enables agents to deliver interactive components such as approvals, workflows, decision tiles and data layouts across Slack, mobile, ChatGPT, Claude, Gemini, Teams and other MCP-supported clients.
Salesforce is also strengthening trust and governance through tools such as Testing Centre, Custom Scoring Evals, Agent Script, Observability, Session Tracing and A/B Testing. These are designed to help enterprises evaluate, monitor and improve agent behaviour before and after deployment.
The company said Salesforce Headless 360 brings together Data 360, Customer 360, Agentforce and Slack to provide the context, workflows, trust layer and engagement environment needed for enterprise AI adoption.
AgentExchange will further support this ecosystem by bringing together 10,000 Salesforce apps, 2,600+ Slack apps and 1,000+ Agentforce agents, tools and MCP servers from partners including Google, Docusign and Notion.
Salesforce said the platform gives enterprises the ability to build any way they want and deploy wherever users are.