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Botsonic MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add Knowledge Url, Check Botsonic Status, Create Bot, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Botsonic through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Botsonic app connector for Vercel AI SDK is a standout in the Customer Support 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

typescript
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 Botsonic, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Botsonic
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Botsonic MCP Server

Connect your Botsonic (by Writesonic) account to any AI agent and manage your AI chatbot fleet through natural conversation.

The Vercel AI SDK gives every Botsonic 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

  • Bot Management — Create, update, list, and inspect AI chatbots with personality, instructions, and knowledge base configuration
  • Knowledge Base Training — Add web page URLs to a bot's knowledge base and review all training sources (URLs, documents, files)
  • Conversation History — Browse all chat sessions per bot and inspect the full message history of any conversation
  • Live Querying — Send messages to a bot and receive AI-generated responses in real time
  • Lead Capture — Retrieve all leads collected by the chatbot during customer conversations
  • Performance Analytics — Track usage metrics including conversation volume, message count, resolution rate, and customer satisfaction

The Botsonic 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 Botsonic tools available for Vercel AI SDK

When Vercel AI SDK connects to Botsonic through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-training, rag, knowledge-base, 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.

add_knowledge_url

Add knowledge URL

check_botsonic_status

Verify connectivity

create_bot

Create a bot

get_bot

Get bot details

get_bot_analytics

Get bot analytics

get_conversation

Get conversation

list_bots

List all bots

list_conversations

List conversations

list_knowledge_base

List knowledge base

list_leads

List captured leads

send_message

Send message to bot

update_bot

Update a bot

Connect Botsonic to Vercel AI SDK via MCP

Follow these steps to wire Botsonic into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Botsonic and passes them to the LLM

Why Use Vercel AI SDK with the Botsonic MCP Server

Vercel AI SDK provides unique advantages when paired with Botsonic through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Botsonic integration everywhere

03

Built-in streaming UI primitives let you display Botsonic tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Botsonic + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Botsonic MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Botsonic in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Botsonic tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Botsonic capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Botsonic through natural language queries

Example Prompts for Botsonic in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Botsonic immediately.

01

"List all my bots and show the analytics for the one with the most conversations."

02

"Add our pricing page and help center to the 'Sales Assistant' bot's knowledge base."

03

"Show me all leads captured by the 'Customer Support Bot' this week."

Troubleshooting Botsonic MCP Server with Vercel AI SDK

Common issues when connecting Botsonic to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Botsonic + Vercel AI SDK FAQ

Common questions about integrating Botsonic MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.