BotGenuity MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Chat With Bot, Get Chatbot Details, Get Conversation History, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect BotGenuity 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 BotGenuity app connector for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 6 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 BotGenuity, 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 BotGenuity MCP Server
Connect your BotGenuity account to any AI agent and take full control of your automated customer engagement and chatbot operations through natural conversation.
The Vercel AI SDK gives every BotGenuity tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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 Orchestration — List and manage all your AI chatbot instances programmatically, retrieving detailed configuration and high-fidelity operational status in real-time
- Lead Capture Intelligence — Access complete directories of leads captured during bot interactions, including high-fidelity contact metadata and conversation context
- Conversation Discovery — Retrieve detailed chat histories and individual message threads to maintain a perfectly coordinated overview of customer needs
- Real-Time Interaction — Programmatically send messages to your chatbots to test performance or integrate bot responses into custom business workflows
- Platform Monitoring — Access chatbot configuration details and monitor account-level connectivity directly through your agent for instant reporting
The BotGenuity MCP Server exposes 6 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 6 BotGenuity tools available for Vercel AI SDK
When Vercel AI SDK connects to BotGenuity through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-builder, conversational-ai, digital-assistant, 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.
Send a message to a chatbot and get a response
Get details of a specific chatbot
Get full history for a conversation
List leads captured by a chatbot
List conversations for a chatbot
List all chatbots in your BotGenuity account
Connect BotGenuity to Vercel AI SDK via MCP
Follow these steps to wire BotGenuity 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 BotGenuity MCP Server
Vercel AI SDK provides unique advantages when paired with BotGenuity 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 BotGenuity integration everywhere
Built-in streaming UI primitives let you display BotGenuity 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
BotGenuity + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the BotGenuity MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query BotGenuity in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate BotGenuity tools and return structured JSON responses to any frontend
Chatbots with tool use: embed BotGenuity capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with BotGenuity through natural language queries
Example Prompts for BotGenuity in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BotGenuity immediately.
"List all my chatbots in BotGenuity."
"Show the captured leads for chatbot ID 'B123'."
"Ask my 'Customer Hero' bot: 'What are our shipping rates?'."
Troubleshooting BotGenuity MCP Server with Vercel AI SDK
Common issues when connecting BotGenuity to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBotGenuity + Vercel AI SDK FAQ
Common questions about integrating BotGenuity 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.