bluebarry.ai MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Analyze Youtube, Get Agent, Get Automation Status, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect bluebarry.ai 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 bluebarry.ai 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 bluebarry.ai, 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 bluebarry.ai MCP Server
Connect your bluebarry.ai account to any AI agent and take full control of your AI orchestration and multimedia automation workflows through natural conversation.
The Vercel AI SDK gives every bluebarry.ai 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
- Agent Orchestration — List and manage all your AI agents programmatically, retrieving detailed status and configuration settings in real-time
- YouTube Intelligence — Programmatically analyze and summarize YouTube videos from their URLs using high-fidelity AI processing directly through your agent
- WhatsApp Automation — Dispatch automated messages and engage with your audience through official WhatsApp integration to coordinate your digital outreach
- Automation Monitoring — Track the status of your active automations across different platforms and retrieve detailed metadata for every process
- Engagement Architecture — Access complete directories of your configured AI personas and monitor account-level connectivity for instant operational reporting
The bluebarry.ai 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 bluebarry.ai tools available for Vercel AI SDK
When Vercel AI SDK connects to bluebarry.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-agents, whatsapp-automation, video-analysis, 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.
Analyze a YouTube video
Get details for an AI agent
Get status of an automation
ai account. List all AI agents
List all active automations
ai platform. Send a WhatsApp message
Connect bluebarry.ai to Vercel AI SDK via MCP
Follow these steps to wire bluebarry.ai 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 bluebarry.ai MCP Server
Vercel AI SDK provides unique advantages when paired with bluebarry.ai 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 bluebarry.ai integration everywhere
Built-in streaming UI primitives let you display bluebarry.ai 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
bluebarry.ai + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the bluebarry.ai MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query bluebarry.ai in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate bluebarry.ai tools and return structured JSON responses to any frontend
Chatbots with tool use: embed bluebarry.ai capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with bluebarry.ai through natural language queries
Example Prompts for bluebarry.ai in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with bluebarry.ai immediately.
"List all my AI agents in bluebarry.ai."
"Analyze and summarize this YouTube video: 'https://youtube.com/watch?v=123'."
"Send a WhatsApp welcome message to '+123456789'."
Troubleshooting bluebarry.ai MCP Server with Vercel AI SDK
Common issues when connecting bluebarry.ai to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpbluebarry.ai + Vercel AI SDK FAQ
Common questions about integrating bluebarry.ai 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.