How to Use the Apache Superset MCP in CrewAI

Deploy a CrewAI team to research and analyze data from Apache Superset.

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Connect Apache Superset MCP to CrewAI

Create your Vinkius account to connect Apache Superset to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Apache Superset with CrewAI

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Assign SQL query tasks to your CrewAI agents

Give your research agent access to `execute_sql_query` to pull data for your analysis crew. One agent writes the SQL, and another verifies the output. This creates a collaborative loop. You get better data because the agents cross-check their queries before they pass the final result to your report.

Catalog BI assets with CrewAI teams

Use `list_charts` and `list_dashboards` to let your monitor agent map out your BI environment. It builds a map of what's available for the rest of the team. Your agents stay informed about the data. If a new dashboard appears, the agent notifies the crew so they can begin monitoring the new metrics.

Audit data sources using specialized agents

Deploy an agent with `list_datasets` and `list_databases` to audit your data connections. It reports which tables are active and which ones have been stale for weeks. This keeps your data hygiene high. The agent flags unused tables, so your team focuses only on relevant, high-quality data sources.

Setup guide

Set up Apache Superset MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Apache Superset tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Apache Superset Analyst",
    goal="Access and analyze Apache Superset data via MCP.",
    backstory="Expert analyst with direct Apache Superset access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Apache Superset transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Apache Superset Analyst",
        goal="Access and analyze Apache Superset data via MCP.",
        backstory="Expert analyst with direct Apache Superset access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Apache Superset transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apache Superset. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Apache Superset MCP in CrewAI

Add the server URL to your agent's mcp list. CrewAI automatically discovers the tools and makes them available to the crew members.

Yes, CrewAI handles the concurrency. Each agent can call the tools independently as part of the crew's collaborative workflow.

You control access via the server's auth settings. The agents operate within the permissions provided by your Vinkius endpoint token.

The server handles large responses within the sandbox. Your agent receives the data and can store it in shared memory for the rest of the crew.

Vinkius uses a zero-trust architecture to isolate your data. Only the authenticated tools have access, and the agents never see your raw database passwords.

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