ChatGen MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Bot, Delete Bot, Get Bot, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ChatGen 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 ChatGen app connector for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 9 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 ChatGen, 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 ChatGen MCP Server
Connect your ChatGen account to any AI agent and simplify your conversational marketing and lead management through natural conversation.
The Vercel AI SDK gives every ChatGen tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Bot Management — List all your chatbots, retrieve detailed configuration metadata, and create or update bots programmatically
- Lead Generation — Query and analyze leads captured by your bots to sync with your sales workflows
- Conversation Tracking — Monitor recent chat sessions to understand user interactions and bot performance
- Team Insights — List organizational teams to understand your account structure
The ChatGen MCP Server exposes 9 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 9 ChatGen tools available for Vercel AI SDK
When Vercel AI SDK connects to ChatGen through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-marketing, lead-capture, chatbot, 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 chatbot
Delete a bot
Get details for a specific bot
Get details for a specific lead
List all ChatGen bots
List recent bot conversations
List captured leads
List organizational teams
Update an existing bot
Connect ChatGen to Vercel AI SDK via MCP
Follow these steps to wire ChatGen 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 ChatGen MCP Server
Vercel AI SDK provides unique advantages when paired with ChatGen 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 ChatGen integration everywhere
Built-in streaming UI primitives let you display ChatGen 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
ChatGen + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ChatGen MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ChatGen in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ChatGen tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ChatGen capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ChatGen through natural language queries
Example Prompts for ChatGen in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ChatGen immediately.
"List all my ChatGen bots."
"Show me details for the lead 'lead_999'."
"Find recent bot conversations."
Troubleshooting ChatGen MCP Server with Vercel AI SDK
Common issues when connecting ChatGen to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChatGen + Vercel AI SDK FAQ
Common questions about integrating ChatGen 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.