Indy MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Form, Create Webhook, Delete Form, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Indy 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 Indy app connector for Vercel AI SDK is a standout in the Productivity 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 Indy, 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 Indy MCP Server
Connect your Indy account to any AI agent and manage forms and records through natural conversation.
The Vercel AI SDK gives every Indy 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
- Form Management — List all forms, inspect configurations, create new forms, and delete unused ones
- Record Tracking — Browse all form submissions, inspect individual records with full field data
- Template Management — List and inspect form templates for reusable designs
- Group Organization — Browse form groups for organized management
- File Access — List files attached to form submissions
The Indy 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 Indy tools available for Vercel AI SDK
When Vercel AI SDK connects to Indy through Vinkius, your AI agent gets direct access to every tool listed below — spanning form-builder, data-collection, freelance-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.
Create a new form
Create a new webhook
Delete a form
Delete a webhook
Get account status
Get form details
Get submission details
Get user details
List all forms
List form submissions
List connected users
List active webhooks
Connect Indy to Vercel AI SDK via MCP
Follow these steps to wire Indy 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 Indy MCP Server
Vercel AI SDK provides unique advantages when paired with Indy 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 Indy integration everywhere
Built-in streaming UI primitives let you display Indy 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
Indy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Indy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Indy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Indy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Indy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Indy through natural language queries
Example Prompts for Indy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Indy immediately.
"Show all forms and the latest submissions for the 'Customer Feedback' form."
"Create a new 'Event Registration' form and list available templates."
"Show all records for the bug report form and any attached files."
Troubleshooting Indy MCP Server with Vercel AI SDK
Common issues when connecting Indy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIndy + Vercel AI SDK FAQ
Common questions about integrating Indy 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.