EveryMCP

Indexed MCP Listing

Databricks MCP

Run notebooks, queries, and jobs on Databricks via AI-assisted MCP tools.

Data AnalysisPythonData EngineeringIndexed source: databricks-solutions/mcp-databricks-server
Before you install: EveryMCP has not security-audited this listing or independently verified its publisher. Review the linked repository, requested permissions, deployment model, and official-registry record where applicable. How the catalog works →
Listed author
databricks
Repository
https://github.com/databricks-solutions/mcp-databricks-server

Installation reference

Set DATABRICKS_HOST and DATABRICKS_TOKEN in the MCP config.

Treat this as catalog metadata, not an audited command. Confirm current instructions in the linked sources before running it.

Use Cases

  • • Notebook execution
  • • Job management
  • • Cluster operations

Tags

databrickssparkml

Choose a starting stack

The free planner offers three-server shortlists for five common goals. It does not automatically include Databricks MCP or confirm compatibility with your environment.

Build a free starting stack

Rolling out your first MCP workflow? The $49 starter kit provides a selection matrix, permission record, client example, and acceptance/rollback checklist. It does not certify Databricks MCP or provide managed setup.

Review the rollout packet — $49

For complex enterprise requirements, share consulting context.