Apache Superset MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Apache Superset through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Apache Superset, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Apache Superset tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Apache Superset MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from Apache Superset and passes them to the LLM
Why Use Vercel AI SDK with the Apache Superset MCP Server
Vercel AI SDK provides unique advantages when paired with Apache Superset through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Apache Superset integration everywhere
Built-in streaming UI primitives let you display Apache Superset tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Apache Superset + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Apache Superset MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Apache Superset in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Apache Superset tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Apache Superset capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Apache Superset through natural language queries
Apache Superset MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Apache Superset to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Apache Superset to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpApache Superset + Vercel AI SDK FAQ
Common questions about integrating Apache Superset MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.