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How to Use the Botsonic MCP in Vercel AI SDK

Feed your own data into Vercel AI SDK frontends. Build bots that answer customer questions using Botsonic tools.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Botsonic MCP on Cursor AI Code Editor MCP Client Botsonic MCP on Claude Desktop App MCP Integration Botsonic MCP on OpenAI Agents SDK MCP Compatible Botsonic MCP on Visual Studio Code MCP Extension Client Botsonic MCP on GitHub Copilot AI Agent MCP Integration Botsonic MCP on Google Gemini AI MCP Integration Botsonic MCP on Lovable AI Development MCP Client Botsonic MCP on Mistral AI Agents MCP Compatible Botsonic MCP on Amazon AWS Bedrock MCP Support
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Vercel AI SDK

Connect Botsonic MCP to Vercel AI SDK

Create your Vinkius account to connect Botsonic to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Stream bot data into Vercel AI SDK interfaces

Pipe live customer support metrics into your React components. Use `get_bot_analytics` to push real-time performance numbers directly onto your admin dashboard without waiting for API polls. Your users watch the numbers update as the AI client processes the stream. It turns static support pages into dynamic displays of your bot's activity.

Manage your Botsonic knowledge base in code

Sync your documentation with your support bot via `add_knowledge_url`. Your frontend triggers this update whenever you push new content to your site. This keeps your support responses fresh without manual intervention. The AI client pulls from the updated knowledge base immediately.

Handle support conversations via MCP Server tools

Build custom chat interfaces using `list_conversations` and `send_message`. You control exactly how the message history renders in your UI. This MCP Server gives you direct access to the conversation thread. You manage the state and the display while the bot handles the heavy lifting.

Setup guide

Set up Botsonic MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Botsonic tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Botsonic transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Botsonic. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Botsonic MCP in Vercel AI SDK

Install the MCP client package and point it at the Vinkius endpoint. You then pass the tools to your streamText function to start executing bot commands.
Yes, use the `create_bot` tool inside your Next.js API routes. It lets your users spin up new support bots right from your dashboard.
It works perfectly. The tool results stream into your UI components as they arrive, letting you show live updates to your end users.
Your data sits on the Botsonic platform. Vinkius keeps the connection ephemeral, meaning no sensitive info stays in your client's memory after the session ends.
Your conversation logs are encrypted in transit. We handle the handshake so your credentials never touch the client-side code directly.

Start using the Botsonic MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Botsonic. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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