# databricks-mcp-server

> Databricks, via its Mosaic framework, provides MCP server capabilities that connect Delta Lake and ML pipelines to LLMs, focusing on enterprise-scale context delivery and AI-ready data preparation.

- **URL:** https://www.databricks.com/dataaisummit/session/building-tool-calling-agents-databricks-agent-framework-and-mcp
- **Category:** Cloud & DevOps MCP Servers
- **Tags:** Mcp, Databricks, Cloud, Enterprise, Ai Integration
- **Updated:** 2025-05-14 00:34
- **Canonical page:** https://mcpserver.ever.works/items/databricks-mcp-server

## Details

# databricks-mcp-server

Databricks, through its Mosaic AI Agent Framework and Model Context Protocol (MCP), offers MCP server capabilities designed to connect Delta Lake and machine learning pipelines to large language models (LLMs). This solution is focused on delivering enterprise-scale context and preparing data for AI applications.

## Features
- Provides a standardized way for AI agents to interact with external tools, data sources, and APIs
- Integrates with Delta Lake and ML pipelines
- Supports retrieval of both structured and unstructured data
- Enables execution of custom code by AI agents
- Facilitates the development of governed, enterprise-ready AI agents
- Addresses fragmented integration approaches by centralizing tool-calling capabilities
- Built on technologies such as MLFlow and Mosaic AI

## Category
cloud-devops-mcp-servers

## Tags
mcp, databricks, cloud, enterprise, ai-integration

## Source
[Building Tool-Calling Agents With Databricks Agent Framework and MCP](https://www.databricks.com/dataaisummit/session/building-tool-calling-agents-databricks-agent-framework-and-mcp)

## Pricing
No pricing information provided.

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