Databricks MCP Server for Windsurf 8 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Databricks through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Databricks and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"databricks": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Databricks MCP Server
Connect your Databricks workspace to any AI agent and take full control of your data intelligence platform and lakehouse orchestration through natural conversation.
Windsurf's Cascade agent chains multiple Databricks tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Cluster Monitoring — List all compute nodes and retrieve detailed information for specific clusters to audit health and capacity limits
- Job Orchestration — List all configured workflows and jobs, and monitor recent executions to verify data pipeline statuses
- SQL Warehouse Management — Enumerate explicitly configured SQL Serverless warehouses and track their active operational boundaries
- Unity Catalog Exploration — List root catalogs and detailed schemas/databases to identify exactly where your structured data resides
- Identity Oversight — Fetch profile information for the authenticated user or service principal to verify active workspace permissions
- Run Auditing — Retrieve chronological logs of job runs to identify precise points of failure in your complex data workflows
The Databricks MCP Server exposes 8 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Databricks to Windsurf via MCP
Follow these steps to integrate the Databricks MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Databricks
Open Cascade and ask: "Using Databricks, help me..." — 8 tools available
Why Use Windsurf with the Databricks MCP Server
Windsurf provides unique advantages when paired with Databricks through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 8 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Databricks + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Databricks MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Databricks and generate models, types, or handlers based on real API responses
Live debugging: query Databricks tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Databricks and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Databricks data with Cascade's code generation to scaffold entire features in minutes
Databricks MCP Tools for Windsurf (8)
These 8 tools become available when you connect Databricks to Windsurf via MCP:
get_cluster
Get cluster details from Databricks
get_me
Get current user from Databricks
list_catalogs
List Unity Catalog catalogs from Databricks
list_clusters
List all clusters from Databricks
list_job_runs
List job runs from Databricks
list_jobs
List all jobs from Databricks
list_schemas
List schemas in catalog from Databricks
list_warehouses
List SQL warehouses from Databricks
Example Prompts for Databricks in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Databricks immediately.
"List all compute clusters in my workspace"
"Show me the last 5 runs for job 'Daily-Sales-ETL'"
"List all catalogs in Unity Catalog"
Troubleshooting Databricks MCP Server with Windsurf
Common issues when connecting Databricks to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Databricks + Windsurf FAQ
Common questions about integrating Databricks MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Databricks with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Databricks to Windsurf
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.