Mokaform MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Create Form, Delete Response, Get Form, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Mokaform 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 Mokaform app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 8 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 Mokaform, 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 Mokaform MCP Server
Connect your Mokaform account to any AI agent and manage AI-powered forms through natural conversation.
The Vercel AI SDK gives every Mokaform tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 — Create, update, and list forms
- Response Collection — Browse and read form submissions
- Workspace Management — Organize forms across multiple workspaces
- Response Actions — View individual responses or delete them
The Mokaform MCP Server exposes 8 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 8 Mokaform tools available for Vercel AI SDK
When Vercel AI SDK connects to Mokaform through Vinkius, your AI agent gets direct access to every tool listed below — spanning form-builder, data-collection, survey-automation, 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
Delete a form response
Get form details
Get specific response details
List all forms
List all responses for a form
List all workspaces
Update an existing form
Connect Mokaform to Vercel AI SDK via MCP
Follow these steps to wire Mokaform 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 Mokaform MCP Server
Vercel AI SDK provides unique advantages when paired with Mokaform 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 Mokaform integration everywhere
Built-in streaming UI primitives let you display Mokaform 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
Mokaform + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Mokaform MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Mokaform in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Mokaform tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Mokaform capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Mokaform through natural language queries
Example Prompts for Mokaform in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mokaform immediately.
"List all forms and show their response counts."
"Show the latest 3 responses for the Customer Feedback form."
"Create a new feedback form in the Marketing workspace."
Troubleshooting Mokaform MCP Server with Vercel AI SDK
Common issues when connecting Mokaform to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMokaform + Vercel AI SDK FAQ
Common questions about integrating Mokaform 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.