SmartChatAI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add Pdf To Knowledge Base, Add Text To Knowledge Base, Add Website To Knowledge Base, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SmartChatAI 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 SmartChatAI app connector for Vercel AI SDK is a standout in the Industry Titans 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 SmartChatAI, 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 SmartChatAI MCP Server
Connect your SmartChatAI account to any AI agent to automate your intelligent chatbot orchestration and lead collection. SmartChatAI provides a premier platform for building custom AI bots, and this integration allows you to retrieve chatbot metadata, manage knowledge bases via URL or PDF, and track conversational history through natural conversation.
The Vercel AI SDK gives every SmartChatAI 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
- Chatbot Orchestration — List all managed AI bots and retrieve detailed profile metadata, including status and configuration programmatically.
- Knowledge Base Lifecycle Management — Add new data sources (URL, PDF, Text) to your bots' knowledge base directly from the AI interface to ensure they are always informed.
- Message & Reply Control — Send automated replies and retrieve detailed chat history to maintain high-quality customer interactions via natural language.
- Web Scraper Automation — Trigger website scraping to ingest content into your AI models and ensure your bots have the latest information.
- Operational Monitoring — Track system health, manage webhooks, and monitor bot activity to ensure your conversational platform is always optimized.
The SmartChatAI 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 SmartChatAI tools available for Vercel AI SDK
When Vercel AI SDK connects to SmartChatAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-orchestration, knowledge-base, lead-collection, 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.
Train bot using a PDF
Train bot using raw text
Train bot using a URL
Verify SmartChatAI API status
Requires a name and optional initial prompt. Provision a new AI agent
Get account profile
Retrieve conversation transcripts
Get configuration for a specific bot
List all AI chatbots
List active webhooks
Send a message and get AI reply
Discover and index domain links
Connect SmartChatAI to Vercel AI SDK via MCP
Follow these steps to wire SmartChatAI 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 SmartChatAI MCP Server
Vercel AI SDK provides unique advantages when paired with SmartChatAI 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 SmartChatAI integration everywhere
Built-in streaming UI primitives let you display SmartChatAI 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
SmartChatAI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SmartChatAI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SmartChatAI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SmartChatAI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SmartChatAI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SmartChatAI through natural language queries
Example Prompts for SmartChatAI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SmartChatAI immediately.
"List all active AI bots in my SmartChatAI account."
"Show me all active chatbot conversations with their resolution rates and average response times."
"Train the chatbot with 10 new FAQ entries about our refund and return policies."
Troubleshooting SmartChatAI MCP Server with Vercel AI SDK
Common issues when connecting SmartChatAI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSmartChatAI + Vercel AI SDK FAQ
Common questions about integrating SmartChatAI 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.