Can the AI query databases connected to Superset, such as Presto or Redshift?

Yes. The `execute_sql_query` tool runs queries through Superset's SQL Lab API, which routes them to whichever database engine you have configured — Presto, Redshift, PostgreSQL, and others.

Are dashboard access permissions enforced when using the MCP server?

Yes. All requests are authenticated with your `SUPERSET_ACCESS_TOKEN`, so only the dashboards, charts, and datasets your token has access to will be visible to the AI.

Can the AI run write queries (INSERT, UPDATE, DELETE) via SQL Lab?

It depends on your Superset database connection settings. By default, SQL Lab connections are read-only. Write access must be explicitly enabled per database in the Superset admin panel.

Apache Superset MCP Server for AutoGen 7 tools — connect in under 2 minutes

Name: Apache Superset
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Apache Superset as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="apache_superset_agent",
            tools=tools,
            system_message=(
                "You help users with Apache Superset. "
                "7 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 Apache Superset MCP Server

Empower your conversational AI with deep Business Intelligence access by integrating the Apache Superset MCP connector. Seamlessly navigating complex data ecosystems natively from your LLM text-interface, your agent can comprehensively index your analytical infrastructure—spanning from high-level operational dashboards down to specific raw database connections. Instantly run ad-hoc data investigations utilizing internal SQL Lab queries, retrieve explicit graph metadata, and dynamically aggregate critical business insights without abandoning your development environment.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Apache Superset tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Discover Analytics Surfaces — Audit your entire BI portal intuitively by executing list_dashboards and retrieve exact metric configurations invoking get_dashboard_details.
Graph & Dataset Inspection — Inventory active metrics logic seamlessly via list_charts (or specify via get_chart_details) and map semantic layers dynamically performing list_datasets.
Uncover Data Architectures — Examine exact backend storage clusters accurately parsing data availability via list_databases natively.
Direct SQL Processing — Interface with your central storage matrices seamlessly by generating raw extractions securely via execute_sql_query targeting specific analytic connections.

The Apache Superset MCP Server exposes 7 tools through the Vinkius. Connect it to AutoGen 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 Apache Superset to AutoGen via MCP

Follow these steps to integrate the Apache Superset MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 7 tools from Apache Superset automatically

Why Use AutoGen with the Apache Superset MCP Server

AutoGen provides unique advantages when paired with Apache Superset through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Apache Superset tools to solve complex tasks

Role-based architecture lets you assign Apache Superset tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Apache Superset tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Apache Superset tool responses in an isolated environment

Apache Superset + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Apache Superset MCP Server delivers measurable value.

Collaborative analysis: one agent queries Apache Superset while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Apache Superset, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Apache Superset data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Apache Superset responses in a sandboxed execution environment

Apache Superset MCP Tools for AutoGen (7)

These 7 tools become available when you connect Apache Superset to AutoGen via MCP:

execute_sql_query

Provide a database ID and the SQL statement. Executes a SQL query via SQL Lab

get_chart_details

Retrieves details for a specific chart

get_dashboard_details

Retrieves details for a specific dashboard

list_charts

Lists all charts (slices) in Superset

list_dashboards

Lists all available dashboards in Apache Superset

list_databases

Lists connected data source connections

list_datasets

Lists all datasets available for analysis

Example Prompts for Apache Superset in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Apache Superset immediately.

"List all my Superset dashboards and tell me which one was updated most recently."

"Check our database connections to see if our Postgres 'SalesDB' is active."

"Run a SQL Lab query to show the top 5 product categories by revenue in SalesDB."

Troubleshooting Apache Superset MCP Server with AutoGen

Common issues when connecting Apache Superset to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Apache Superset + AutoGen FAQ

Common questions about integrating Apache Superset MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Apache Superset tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.