SingleStore MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SingleStore through the 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 SingleStore, 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 SingleStore MCP Server
Grant your AI agent (like Claude or Cursor) absolute read-and-write sovereignty over your SingleStore infrastructure. The SingleStore MCP equips your LLM to act as a fully autonomous database administrator. Stop navigating external dashboards to check schema details or run complex search queries.
The Vercel AI SDK gives every SingleStore tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the 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
- Execute SQL Queries — Execute raw SQL natively from your AI agent using
execute_sql. - Semantic Vector Search — Perform semantic vector similarity searches natively against your data with
vector_search. - Workspace & Billing Administration — Survey your server clusters with
list_workspaces, list databases withlist_databases, and audit billing usage viaget_billing_usage.
The SingleStore MCP Server exposes 6 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 SingleStore to Vercel AI SDK via MCP
Follow these steps to integrate the SingleStore 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 6 tools from SingleStore and passes them to the LLM
Why Use Vercel AI SDK with the SingleStore MCP Server
Vercel AI SDK provides unique advantages when paired with SingleStore 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 SingleStore integration everywhere
Built-in streaming UI primitives let you display SingleStore 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
SingleStore + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SingleStore MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SingleStore in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SingleStore tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SingleStore capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SingleStore through natural language queries
SingleStore MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect SingleStore to Vercel AI SDK via MCP:
execute_sql
Use read-only SQL statements whenever possible. Executes a SQL query on a SingleStore database
get_billing_usage
Retrieves billing and usage metrics
list_databases
Lists all databases within a specific workspace
list_organizations
Lists organizations associated with the account
list_workspaces
Lists all SingleStore workspaces
vector_search
Performs a DOT_PRODUCT vector similarity search
Example Prompts for SingleStore in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SingleStore immediately.
"List all my available workspaces."
"List all databases within workspace ID 1234, and then find the first 5 records in 'users_db'."
Troubleshooting SingleStore MCP Server with Vercel AI SDK
Common issues when connecting SingleStore to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSingleStore + Vercel AI SDK FAQ
Common questions about integrating SingleStore 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 SingleStore 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 SingleStore to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.