MCP databricks server: MCP server, setup and security

What MCP databricks server does

According to its repository: “Run SQL queries, list jobs and get job status via the Databricks API.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. MCP databricks server is listed under Data platforms, a category of 39 servers in the directory, where it ranks #14 by stars.

Installing and connecting MCP databricks server

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for MCP databricks server:

• No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.
• Maintenance: no commit for 18 months. Possible flaws and protocol changes are no longer tracked.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 21, 2025, the JordiNeil/mcp-databricks-server repository has 50 stars and 25 forks, with 2 open issues. It has more stars than 51% of the servers in the directory. Last change 18 months ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.