Turn all your Data into Context Every Agent Can Put to Work.
Today, Salesforce is announcing that the Data 360 MCP Server is now available in Developer Preview — a significant step forward in how organizations use their trusted data across their Agentic Enterprise.
The Data 360 MCP server lets any MCP client, including AI tools, like Cursor and Claude Code, talk directly with the data you have in Data 360. It is a new mechanism that allows any AI agent to instantly understand and act on your entire Data 360 environment, including setup, segmentation logic, identity resolution, calculated insights, and ongoing data Q&A.
The result: your data foundation is fully unlocked, ready to be put to work by any agent, on any surface.
The Problem We’re Solving
Every AI initiative ultimately runs into the same wall. Agents are only as good as the context they have access to. And getting enterprise data into a state where it’s trusted, complete, unified, and ready to act on has always required enormous effort — specialized teams, months of configuration, careful mapping across systems, and constant maintenance as data changes.
The core issue is a heavy reliance on manual, human-led, repetitive processes. While Data 360 has significantly lowered the operational burden compared to other data tools, bottlenecks related to the manual and repetitive tasks that still require human attention still exist. The Data 360 MCP Server is designed to eliminate this slowdown, bringing a fundamental change to how agents access and act on enterprise data..
What Changes Today
The Model Context Protocol (MCP) is the new standard for connecting AI systems to enterprise tools and data. Think of it as a shared language that lets any AI agent — Agentforce, Claude, or others — understand your business context and take meaningful action.
The Data 360 MCP Server integrates directly into that ecosystem. It exposes the full breadth of Data 360 capabilities through a single, intelligent interface that AI can reason about natively. Examples of actions available to an agent include data setup, identity resolution, segmentation, transforms, and semantic models.
With this new innovation, two things change immediately.
- Your data foundation gets built faster. What used to require weeks of manual configuration — data mapping, field analysis, transform design — can now happen conversationally, guided by AI that understands your Data 360 environment. Your architects describe what they need. The system executes and validates. Your team reviews and decides. The operational lift drops dramatically, and the clock on time-to-value compresses.
- Your existing data investments go further. Data 360 is built on the principle that your data shouldn’t have to move to become valuable. Zero Copy integrations mean your data stays in Snowflake, Databricks, Google BigQuery, or AWS — and works from there. The MCP Server extends that same openness to the AI ecosystem. Whatever tools your teams adopt next, your data foundation can come with you.
What to Do Right Now
The Data 360 MCP Server is available in Developer Preview today. If you have Data 360 in production, your teams can begin exploring it now — start with one initiative, see how agentic setup changes the pace, and build from there.
Please note: This initial preview is self-hosted and single-client, requiring an upfront installation. We encourage your developers to treat this as an opportunity to influence the final product, which will be Salesforce Hosted and require no local setup.
If you’re evaluating Data 360, this preview is a clear signal of the platform’s direction: faster time to value, deeper integration with the AI tools you’re already investing in, and a data foundation that’s built to power your Agentic strategy from day one.
The MCP Server is scheduled for general availability in 2026. Once live, it will be available as a Salesforce Hosted MCP Server — no local setup required, natively integrated into the Salesforce platform alongside other product MCP servers.
Beyond the server, we are building out the Data 360 Skills Library, which will provide agents with scenario-driven capabilities—structured instructions for complex workflows—to create a far better and more predictable experience.
To dig into the technical details, visit the Salesforce Developers Blog. To discuss what this means for your roadmap, reach out to your Salesforce account team.
