The age of agentic AI is here. With frameworks like OpenAI's Agent Builder, developers are creating powerful AI agents that can reason, plan, and execute complex tasks. They can manage a customer's travel itinerary, optimize an e-commerce flash sale, or even monitor a competitive gaming match for fair play.

But even the most intelligent AI agent has an Achilles' heel: the context gap. An agent's decisions are only as good as its understanding of the world, and for most, that understanding is based on a snapshot of the past. They are brilliant strategists locked in a windowless room, working with yesterday's battlefield maps.

This delay between a real-world event and an agent's awareness is the difference between a magical, proactive experience and a frustrating failure. To unlock the true potential of agentic AI, we must close this gap. We must give our agents a live, streaming view of reality.

Today, we're thrilled to announce a major step forward in achieving that vision. DeltaStream now includes a built-in Model Context Protocol (MCP) server, making it the definitive Real-Time Context Engine for GenAI Agents and Applications.

The Bridge Between Your Live Data and Your AI's Brain

Connecting an AI to a live data source has always been a complex, bespoke engineering challenge. It meant building custom APIs, managing data pipelines, worrying about security, and wrestling with scalability.

Our new built-in MCP server eliminates that complexity entirely.

It provides a direct, secure, and incredibly simple bridge between the real-time materialized views you build in DeltaStream and any GenAI agent that can use tools. You no longer need to write a single line of server code to serve this context. You simply create it, secure it, and let the agent use it.

Here’s how astonishingly easy it is to give your agent a real-time sense of sight:

  1. Build Your Context with SQL: As always, you start by using simple, powerful SQL in DeltaStream to process your raw Kafka streams or database changelogs into a clean, actionable materialized view. This view is your agent's "context."
  2. Create an API Access Token: In the DeltaStream UI, generate a new API access token. You can assign it fine-grained permissions, giving it read-only access to the specific materialized view your agent needs and nothing more.
  3. Configure the Agent Tool: In your agent's toolkit (e.g., in OpenAI's Agent Builder), add a new MCP tool. All you need to provide is the designated MCP endpoint URL from DeltaStream and the access token you just created.
  4. Describe the Context: Finally, you describe the tool to your agent in plain English, explaining what the materialized view contains and how to query it using SQL.

That’s it. In minutes, you’ve securely connected your AI’s advanced reasoning capabilities to a real-time, sub-second view of your business.

Secure by Design: Governance for Your AI's Context

Giving an autonomous AI agent access to your live business data can be a daunting prospect. How do you ensure it only sees what it's supposed to see? How do you prevent it from accessing sensitive customer PII or financial records?

This is where governance becomes paramount, and it's a core principle of our platform. The API access token you create in Step 2 is more than just a key—it's a leash. It's tied directly into DeltaStream's powerful, built-in Role-Based Access Control (RBAC).

You have granular control to enforce the principle of least privilege:

  • Define a Role: You can create a specific role, such as flight_disruption_agent_role.
  • Grant Specific Privileges: You can grant this role SELECT privileges only on the disrupted_premium_passengers materialized view and nothing else in your entire data estate.
  • Enforce the Boundary: When the agent connects using its token, these permissions are automatically enforced at the data layer. The agent is physically incapable of seeing or querying any data outside of its explicit, pre-approved context.

This built-in security framework provides the trust and confidence enterprises need to deploy GenAI agents against their most valuable real-time data, turning a potential risk into a secure, governed, and powerful asset.

The Future of AI is in Real Time

Agentic AI is the future, but it cannot operate in a vacuum. It requires a nervous system that connects it to the real world, feeding it a constant stream of fresh, reliable context.

With the launch of our integrated MCP server, DeltaStream becomes that nervous system. We are closing the context gap and making it radically simpler for developers to build the next generation of intelligent, proactive, and truly effective AI applications.

The era of stale AI is over. The real-time revolution has begun.