An agentic application is an AI system that knows your business context, reasons autonomously, and takes action based on real-time data and specialized expertise. Agent Bricks, Genie, Apps, and Lakebase give enterprises the tools to build agentic applications at scale. But there's a critical gap: agents built solely on internal data can't truly think.
Consider a loan approval agent. It has access to your bank's loan book, customer history, and credit scores. But it lacks the context that humans instinctively use:
Without this real-time intelligence, agents become knowledge-limited—constrained by historical data, unable to reason about the world as it is now. They can execute workflows, but they can't make informed decisions.
The old solution? Manual research. Analysts pull data from multiple sources, lose context switching between tools, and create bottlenecks. Decisions slow down. Risk increases.
Agents need a way to access live, trusted intelligence while they reason through complex problems. That's where the MCP Marketplace comes in.
The Databricks Marketplace is an open marketplace for data, analytics and AI. It is the central hub for discovering, connecting to, and governing MCP servers and AI-ready data, enabling agents to access external data at scale with minimal friction.
Let's walk through three domain-specific examples that illustrate how agentic applications use real-time intelligence to solve concrete problems. These three providers represent different types of external intelligence your agents might need:
These aren't just data feeds. They're executable intelligence sources that agents can query, evaluate, and act upon, all within a governed, auditable environment. Every connection is authenticated through Unity Catalog, creating a single source of truth for access control and compliance.
By connecting your agentic applications to these MCP servers, you're doing three critical things:
To illustrate how agentic applications leverage real-time intelligence, here's how these three providers power autonomous decision-making across different use cases:
The You.com MCP acts as a real-time research arm that can be invoked within your agents to provide the "why" behind internal performance metrics.
This demo illustrates how a supervisor agent uses Genie for internal data warehouse queries and the You.com MCP Server for external web research.
Moody’s MCP Server delivers trusted, GenAI-ready intelligence that can be woven into financial applications to accelerate decision-making. By invoking Moody’s curated data ecosystem, including global entity ownership, financial statements, and Moody's Ratings credit ratings and research alongside your bank’s private loan book, you move from manual research to decision-ready intelligence.
Click here for the detailed walkthrough of Moody's MCP Server on Databricks
The Cotality MCP and AI-Ready datasets provide the missing link for lenders, allowing them to embed real estate universe intelligence directly into their agentic workflows.
Real-time intelligence solves half the problem. But agentic applications need another capability: persistent memory and state.
Here's the challenge: a complex workflow—like a 3-day commercial loan review—involves multiple steps, human handoffs, and decisions. Without a persistent state, agents restart from scratch each time. Context is lost. Progress resets.
That's where Lakebase comes into play. Lakebase is a serverless, stateful database purpose-built for agentic applications. It stores agent state, decisions, and audit trails throughout multi-step workflows.
Why this matters for real-time intelligence: When your agent accesses Moody's data on day one and Cotality data on day two, Lakebase connects those insights and reasons across them. The agent doesn't re-request data; it builds on what it knows. Every decision is logged for compliance—automatically.
Let’s see how a production-grade agentic application works
Governance throughout: All data accessed, all agent reasoning, all decisions—tracked in Unity Catalog with full lineage.
The MCP Marketplace is live. Real-time intelligence is now accessible to your agents:
Three providers are ready:
Three next steps:
Agents powered by real-time intelligence don't just execute workflows—they reason, adapt, and make autonomous decisions that drive business results.
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