GroundX MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Bucket, Create Group, Get Customer Info, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GroundX through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The GroundX app connector for Vercel AI SDK is a standout in the Knowledge Management category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 GroundX, 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 GroundX MCP Server
The GroundX MCP server enables your AI agent to search across enterprise data stores and manage RAG (Retrieval-Augmented Generation) pipelines, retrieving highly relevant document chunks seamlessly.
The Vercel AI SDK gives every GroundX tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The GroundX MCP Server exposes 12 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.
All 12 GroundX tools available for Vercel AI SDK
When Vercel AI SDK connects to GroundX through Vinkius, your AI agent gets direct access to every tool listed below — spanning rag-as-a-service, data-search, document-retrieval, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new bucket
Create a new group
Retrieve account and customer details
Check the processing status of an ingestion task
Ingest documents into GroundX from URLs or local paths
Crawl and ingest content from a website URL
List all buckets (containers for documents)
List all ingested documents
List all groups (aggregations of buckets)
List all RAG workflows
Perform semantic search across all content
Search for specific documents based on metadata or content
Connect GroundX to Vercel AI SDK via MCP
Follow these steps to wire GroundX into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the GroundX MCP Server
Vercel AI SDK provides unique advantages when paired with GroundX 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 GroundX integration everywhere
Built-in streaming UI primitives let you display GroundX 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
GroundX + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GroundX MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GroundX in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GroundX tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GroundX capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GroundX through natural language queries
Example Prompts for GroundX in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GroundX immediately.
"List all my GroundX data buckets."
"Search for 'refund policy' in bucket 102."
"Check the document count in bucket 101."
Troubleshooting GroundX MCP Server with Vercel AI SDK
Common issues when connecting GroundX to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGroundX + Vercel AI SDK FAQ
Common questions about integrating GroundX 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.