Apache Superset MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Apache Superset through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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: {
"apache-superset": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Apache Superset Agent",
instructions:
"You help users interact with Apache Superset " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Apache Superset?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Apache Superset tool infrastructure. Connect 7 tools through 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
- Discover Analytics Surfaces — Audit your entire BI portal intuitively by executing
list_dashboardsand retrieve exact metric configurations invokingget_dashboard_details. - Graph & Dataset Inspection — Inventory active metrics logic seamlessly via
list_charts(or specify viaget_chart_details) and map semantic layers dynamically performinglist_datasets. - Uncover Data Architectures — Examine exact backend storage clusters accurately parsing data availability via
list_databasesnatively. - Direct SQL Processing — Interface with your central storage matrices seamlessly by generating raw extractions securely via
execute_sql_querytargeting specific analytic connections.
The Apache Superset MCP Server exposes 7 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 Apache Superset to Mastra AI via MCP
Follow these steps to integrate the Apache Superset 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 7 tools from Apache Superset via MCP
Why Use Mastra AI with the Apache Superset MCP Server
Mastra AI provides unique advantages when paired with Apache Superset through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Apache Superset 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 Apache Superset 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
Apache Superset + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Apache Superset MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Apache Superset, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Apache Superset as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Apache Superset on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Apache Superset tools alongside other MCP servers
Apache Superset MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Apache Superset to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Apache Superset to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpApache Superset + Mastra AI FAQ
Common questions about integrating Apache Superset 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 Apache Superset 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 Apache Superset to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
