RudderStack 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 RudderStack 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 RudderStack, 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 RudderStack MCP Server
Connect your conversational assistant directly into RudderStack, the leading enterprise Customer Data Platform (CDP) dedicated to developers. This integration robustly morphs your AI into a dynamic data engineer, enabling smooth real-time conversational audits encompassing configured sources, end tracking pipeline connections, tracking plans, and segmentation.
The Vercel AI SDK gives every RudderStack 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
- Explore Inlets and Outlets — Command the assistant directly natively to list every active data intake platform (
list_sources) securely or drill flawlessly deep into individual setup environments using detailed metrics (get_source). View every downstream endpoint gracefully (list_destinations). - Audit Data Interconnectivity — Are the web analytics pipelines correctly tied proactively to the respective data warehouses? The AI natively verifies data pipeline flows mapping seamlessly directly (
list_connections). - Governance & Audience Mapping — Instantly review strict operational event typing mappings natively securely configured (
list_tracking_plans), or query active personalized remarketing sub-clusters synced locally to customer databases cleanly natively (list_audiences).
The RudderStack 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 RudderStack to Vercel AI SDK via MCP
Follow these steps to integrate the RudderStack 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 RudderStack and passes them to the LLM
Why Use Vercel AI SDK with the RudderStack MCP Server
Vercel AI SDK provides unique advantages when paired with RudderStack 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 RudderStack integration everywhere
Built-in streaming UI primitives let you display RudderStack 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
RudderStack + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the RudderStack MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query RudderStack in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate RudderStack tools and return structured JSON responses to any frontend
Chatbots with tool use: embed RudderStack capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with RudderStack through natural language queries
RudderStack MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect RudderStack to Vercel AI SDK via MCP:
get_destination
Retrieves details for a specific data destination
get_source
Retrieves details for a specific data source
list_audiences
Lists all defined user audiences
list_connections
Lists all source-to-destination connections
list_destinations
Lists all data destinations configured in RudderStack
list_sources
Lists all data sources configured in RudderStack
list_tracking_plans
Lists all tracking plans defined in the data catalog
Example Prompts for RudderStack in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with RudderStack immediately.
"List all configured sources."
"Check if the connection between our website source and Snowflake destination is active."
"Show me the tracking plans currently applied to our iOS app source."
Troubleshooting RudderStack MCP Server with Vercel AI SDK
Common issues when connecting RudderStack to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRudderStack + Vercel AI SDK FAQ
Common questions about integrating RudderStack 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 RudderStack 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 RudderStack to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.