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databricks Platform · Updated Jun 10, 2025

Model Context Protocol (MCP) for AI agents is in Beta

Databricks now supports MCP, an open standard that lets AI agents securely access tools, resources, prompt, and other contextual information using a consistent interface.

What it does

Databricks now supports MCP, an open standard that lets AI agents securely access tools, resources, prompt, and other contextual information using a consistent interface. Managed MCP servers: Use Databricks hosted servers for easy, no maintenance access to Unity Catalog data and tools. Custom MCP servers: Host your own MCP server or third party server as a Databricks app.

Why it matters

On Databricks, Unity AI Gateway, the enterprise control plane, governs access and monitors activity across MCP servers and LLM endpoints.

Key capabilities
MCP Services in Unity Catalog
MCP Services in Unity Catalog
Connect to MCP servers hosted
Connect to MCP servers hosted outside Databricks using managed connections, and register them as Unity Catalog securables to…
Host your own MCP server
Host your own MCP server
Host your own MCP server
Host your own MCP server as a Databricks app.
Architecture
Databricks Platform → Platform
In short

Databricks now supports MCP, an open standard that lets AI agents securely access tools, resources, prompt, and other contextual information using a consistent interface. Managed MCP servers: Use Databricks hosted servers for easy, no maintenance access to…

Read the full documentation ↗
Key takeaway
Databricks now supports MCP, an open standard that lets AI agents securely access tools, resources, prompt, and other contextual information using a consistent interface.
2025-06-10-model-context-protocol-mcp-for-ai-agents-is-in-beta Generated by the Databricks Updates Agent · browse all updates