Databricks MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Databricks through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"databricks": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Databricks Agent",
instructions:
"You help users interact with Databricks " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Databricks?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Databricks tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Databricks MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Databricks via MCP
Why Use Mastra AI with the Databricks MCP Server
Mastra AI provides unique advantages when paired with Databricks through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Databricks without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Databricks tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Databricks + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Databricks MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Databricks, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Databricks as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Databricks on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Databricks tools alongside other MCP servers
Databricks MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Databricks to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Databricks to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDatabricks + Mastra AI FAQ
Common questions about integrating Databricks MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Databricks with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.