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AI agent tools give your agents practical capabilities beyond text generation, like searching documents, querying databases, calling REST APIs, or executing custom code.
Use pre-configured managed MCP servers for immediate access to Databricks data, use external MCP servers to connect to third-party APIs, or build custom tools for specialized business logic.
Explore these common tool patterns and implementation examples:
| Use case | Recommended approach |
|---|---|
| Work with structured data | Read structured data in Unity Catalog tables. |
| Retrieve unstructured data | Connect agents to vector search indexes to query unstructured data. |
| Connect to external MCP servers | Securely connect to MCP servers outside of Databricks to query external APIs and access third-party MCP tools. |
| Run custom business logic | Build a custom MCP server with your own tools. |
| AI tools using Unity Catalog functions (legacy) | Legacy, no longer recommended. |