Model Context Protocol (MCP) tool

Databricks MCP services connect ai agents with governed data and enterprise tools.

Overview

Databricks managed MCP servers provide MCP-compatible access to governed data and services in a Databricks workspace. Agents can connect to Unity Catalog data, Genie spaces, SQL warehouses, and AI Search indexes through stable MCP endpoints. Databricks documents permissions, authentication, tool discovery, and integration with custom agents.

Key features

Managed MCP server endpoints
Unity Catalog access
Genie space integration
SQL warehouse tools
AI Search index access
Workspace permissions and authentication
Custom-agent integration

Use cases

Show all 6Show fewer

Databricks automation

Alternatives

AgentForgeOpen-source low-code Python framework for agents and YAML cognitive architectures.ai agent frameworkFree
AutoGenMicrosoft open-source framework for multi-agent chat apps and event-driven agent systems.ai agent frameworkFree
iProgrammer SolutionsAustralian AI services firm with computer-vision products for productivity, safety, and security.ai agent
IXOpen-source platform for building, debugging, and deploying collaborative GPT agents and workflows.ai agent frameworkFree
JarminYC-backed AI employees for human-level roles plus managed ML engineering and agent systems.ai agent
Kore.aiEnterprise platform for building, deploying, governing, and optimizing ai agents.ai agent framework

Last updated 2026-09-16