Bring Data Lake
to CrewAI
Create your Vinkius account to connect Starburst to CrewAI and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Starburst MCP Server?
Integrate the powerful federated data analytics capabilities of Starburst directly into your conversational AI workflows. Empower your data engineering and analytics teams to query extensive data lakes, manage organizational roles, and explore detailed schemas without needing to explicitly switch between database clients. Securely map your AI assistant to your Starburst host, enabling natural language orchestration of complex Trino-based data products to accelerate data discovery and governance across your entire enterprise architecture.
What you can do
- Federated Query Execution — Pass complex SQL statements programmatically against your connected data sources utilizing
execute_query, receiving structured analytic returns directly. - Schema & Catalog Discovery — Actively map your data landscape by inspecting linked databases invoking
list_catalogs, and drill down into specific table hierarchies usinglist_schemas. - Data Product Management — Manage and retrieve existing analytical data products across the Starburst network systematically validating data definitions using
list_data_products. - Governance & Role Administration — Inspect access control limitations securely by navigating role assignments formally deploying requests through
list_rolesand evaluating privilege thresholds.
How it works
- Install the Starburst MCP connector, binding it inherently to your active LLM assistant.
- In the MCP configurations, provide your
STARBURST_HOSTand yourSTARBURST_TOKENto securely establish a persistent communication session. - Instruct the AI: "Execute a query listing the top 10 rows from the 'customer_analytics' table located in our 'production_hive' catalog, and summarize the data."
Who is this for?
- Data Engineers — Radically streamline data auditing by parsing schemas, managing catalogs, and iterating over queries utilizing an intuitive conversational interface.
- Data Analysts — Explore massive federated datasets without writing rigorous boilerplate connection scripts, leveraging AI to construct and execute complex SQL instantly.
- Data Governance Managers — Maintain strict oversight of access limitations continuously verifying role assignments and auditing internal data products natively.
Built-in capabilities (6)
Retrieves details for a specific SQL query
g., S3, Snowflake, Iceberg) are connected. Lists all data catalogs available in Starburst Galaxy
Lists all published data products
Lists data product domains
Lists recent SQL queries executed in the cluster
Lists all security roles in the organization
Why CrewAI?
When paired with CrewAI, Starburst becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Starburst tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Starburst in CrewAI
Why run Starburst with Vinkius?
The Starburst connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Starburst using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Starburst and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Starburst to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Starburst for CrewAI
Every request between CrewAI and Starburst is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can the AI run write or drop queries?
That depends on your token's permissions. The execute_query tool passes any SQL to Starburst. To prevent mutations, provision a read-only token via your Starburst security settings.
How do I handle queries that return thousands of rows?
Always add a LIMIT clause in your SQL. Large result sets can exceed the AI's context window. Instruct the agent to use LIMIT 10 or LIMIT 50 to keep responses manageable.
What credentials do I need?
Two values: STARBURST_HOST (your cluster URL, e.g., https://mycluster.trino.galaxy.starburst.io) and STARBURST_TOKEN (a service account token from your Starburst admin settings).
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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