BotPenguin MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect BotPenguin 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 BotPenguin, 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 BotPenguin MCP Server
Connect your BotPenguin account to any AI agent and orchestrate your customer conversations, lead generation, and support workflows through natural language.
The Vercel AI SDK gives every BotPenguin 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
- Contact Management — List and search for contacts or leads collected by your chatbots across multiple channels.
- Chat Oversight — Retrieve active and historical chat sessions to monitor agent and bot performance.
- Conversation Logging — Access the full message history for specific chat sessions.
- Message Automation — Send messages directly into active chats to assist users programmatically.
- Authentication Support — Trigger OTP SMS messages to verify user phone numbers.
- Team Coordination — List all configured tags and human agents to ensure proper lead routing.
The BotPenguin 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.
How to Connect BotPenguin to Vercel AI SDK via MCP
Follow these steps to integrate the BotPenguin MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from BotPenguin and passes them to the LLM
Why Use Vercel AI SDK with the BotPenguin MCP Server
Vercel AI SDK provides unique advantages when paired with BotPenguin 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 BotPenguin integration everywhere
Built-in streaming UI primitives let you display BotPenguin 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
BotPenguin + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the BotPenguin MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query BotPenguin in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate BotPenguin tools and return structured JSON responses to any frontend
Chatbots with tool use: embed BotPenguin capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with BotPenguin through natural language queries
BotPenguin MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect BotPenguin to Vercel AI SDK via MCP:
get_chat_history
Retrieve message history of a chat
get_contact
Get details of a specific contact
list_agents
List all human agents/operators
list_chats
List active chat sessions
list_contacts
Optional search text. List all BotPenguin contacts/leads
list_tags
List all contact tags
send_message
Send a message in a specific chat
send_otp
Send an OTP SMS to verify a phone number
Example Prompts for BotPenguin in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BotPenguin immediately.
"List the most recent contacts in BotPenguin."
"Show the chat history for chat session chat_123."
"Send an OTP SMS to +1555998877."
Troubleshooting BotPenguin MCP Server with Vercel AI SDK
Common issues when connecting BotPenguin to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBotPenguin + Vercel AI SDK FAQ
Common questions about integrating BotPenguin 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.Connect BotPenguin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BotPenguin to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.