Grid MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Health, Create New Operational Record, Get Authenticated User Profile, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Grid 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 Grid app connector for Vercel AI SDK is a standout in the Erp Operations 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 Grid, 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 Grid MCP Server
Connect your WorkOnGrid account to any AI agent and take full control of your field operations and operational data management through natural conversation.
The Vercel AI SDK gives every Grid 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.
What you can do
- Worksheet Orchestration — List all operational worksheets and retrieve detailed technical metadata and structures programmatically
- Field Data Capture — Create, update, and search for records within your worksheets to track inspections, asset status, and team productivity
- Operational Visibility — Monitor analytical dashboards and manage team member access to maintain high-fidelity oversight of your workflows
- Asset Tracking — List and manage supported asset types to ensure precise inventory management and field record accuracy
- System Monitoring — Check API health and manage outbound webhooks directly through your agent for reliable operational automation
The Grid 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 Grid tools available for Vercel AI SDK
When Vercel AI SDK connects to Grid through Vinkius, your AI agent gets direct access to every tool listed below — spanning field-operations, data-digitization, worksheet-management, 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.
Verify Grid API connectivity
g., a new inspection report) into a specific worksheet. Add a new record to a worksheet
Get authenticated user info
Get details for a specific worksheet
List active webhooks
List available dashboards
List all operational worksheets
List common asset categories
List organization users
List records from a worksheet
Delete a record from a worksheet
Modify an existing operational record
Connect Grid to Vercel AI SDK via MCP
Follow these steps to wire Grid 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 Grid MCP Server
Vercel AI SDK provides unique advantages when paired with Grid 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 Grid integration everywhere
Built-in streaming UI primitives let you display Grid 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
Grid + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Grid MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Grid in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Grid tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Grid capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Grid through natural language queries
Example Prompts for Grid in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Grid immediately.
"List all active worksheets in my Grid account."
"Add a maintenance record to 'ws_456' for 'Excavator EX01'."
"Show me the latest dashboard status for field operations."
Troubleshooting Grid MCP Server with Vercel AI SDK
Common issues when connecting Grid to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGrid + Vercel AI SDK FAQ
Common questions about integrating Grid 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.