Managed MCP servers for governed data access
Visit WebsitePaidVisit Website
Tracked since2026
0 reviews trackedWhat is Databricks MCP?
Databricks provides pre-configured, managed MCP servers hosted inside Databricks so agents reach governed data and functions with no setup; custom MCP servers can also be hosted as a Databricks App.
Preview
Key Features
Query a Genie space in natural languageRun vector similarity search over Mosaic AI Vector SearchExecute Databricks SQLInvoke Unity Catalog functions as toolsCentrally governed access
Pricing
Paid
Databricks MCP offers paid plans. Visit their website for current pricing details.
Reviews
$99Free with your review
Write a reviewReview Databricks MCP, get a free AI guide
Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.
Best Databricks MCP Alternatives
Top alternatives based on features, pricing, and user needs.
SnowflakePaid
Unify your data across clouds with separate compute and storage
StarburstFreemium
Unify data, context, and governance for trusted AI and faster insights across all data sources.
DremioFreemium
The Agentic Lakehouse for AI and Analytics, providing fast, governed, and unified data access.
Amazon RedshiftPaid
Petabyte-scale data warehouse on AWS
Still deciding?
Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.
Explore More
Databricks MCP FAQ
How does Databricks MCP simplify data access for AI agents?
Databricks MCP provides pre-configured, managed MCP servers hosted inside Databricks, so agents can reach governed data and functions with no manual setup. This eliminates the need for custom infrastructure while ensuring data access remains governed and secure.
Which teams benefit most from using Databricks MCP?
Teams that work with governed data and need to connect AI agents to that data without operational overhead benefit most from Databricks MCP. This includes data engineering, data science, and DevOps teams that require a managed solution for data access.
How does Databricks MCP compare to Snowflake for agent data access?
Unlike Snowflake, which is a cloud data warehouse that requires separate configuration for agent connectivity, Databricks MCP offers managed MCP servers hosted directly inside Databricks for governed data access. This reduces setup complexity by providing pre-configured servers that agents can use immediately.
How is Databricks MCP priced?
Databricks MCP is a paid product that does not include a permanently free tier. Pricing is based on usage or subscription, but specific price numbers are not provided in the available facts.
Can Databricks MCP host custom MCP servers?
Yes, Databricks MCP allows users to host custom MCP servers as a Databricks App, in addition to its pre-configured managed servers. This provides flexibility for teams that need tailored server configurations for their agents.
Which categories of use cases does Databricks MCP support?
Databricks MCP supports use cases in Data & Databases, Cloud & Infrastructure, and DevOps. This makes it suitable for teams managing data pipelines, cloud environments, and deployment workflows that require governed agent access.
Does Databricks MCP require manual setup for agent data access?
No, Databricks MCP provides pre-configured, managed MCP servers hosted inside Databricks, so agents can reach governed data and functions with no setup. This reduces the operational burden on teams compared to building and maintaining custom connectivity.
Source: databricks.com