{
"mcpServers": {
"mcp-databricks-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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MCP Server for Databricks
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 350 days ago. 47 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
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A Model Context Protocol (MCP) server that connects to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status.
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
.env file in the root directory with the following variables:
DATABRICKS_HOST=your-databricks-instance.cloud.databricks.com
DATABRICKS_TOKEN=your-personal-access-token
DATABRICKS_HTTP_PATH=/sql/1.0/warehouses/your-warehouse-id
python test_connection.py
your-instance.cloud.databricks.com)Start the MCP server:
python main.py
You can test the MCP server using the inspector by running
npx @modelcontextprotocol/inspector python3 main.py
The following MCP tools are available:
When used with LLMs that support the MCP protocol, this server enables natural language interaction with your Databricks environment:
https:// prefixpython test_connection.py.env file and never commit it to version control