3,400+ MCP servers ready to use
Vinkius

Aidbase MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Add Aidbase Faq Item, Add Aidbase Website Knowledge, Check Aidbase Status, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Aidbase 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 Aidbase app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 11 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 Aidbase, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Aidbase
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 Aidbase MCP Server

Connect your Aidbase account to any AI agent and take full control of your automated customer support and intelligent knowledge management workflows through natural conversation.

The Vercel AI SDK gives every Aidbase tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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 and manage all configured AI chatbots programmatically, retrieving detailed high-fidelity metadata and configuration settings in real-time
  • Knowledge Graph Ingestion — Programmatically update what your AI knows by pushing new website URLs or injecting specific Q&A items into existing FAQs dynamically
  • Conversational Intelligence — Send messages and retrieve high-fidelity AI responses from specific chatbots to test performance or integrate chat into custom workflows
  • AI Email Inbox Management — Access and monitor your automated email responders and their assigned knowledge bases to ensure perfectly coordinated context application
  • Operational Monitoring — Verify API connectivity and retrieve account-level status directly through your agent for instant performance reporting

The Aidbase MCP Server exposes 11 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 11 Aidbase tools available for Vercel AI SDK

When Vercel AI SDK connects to Aidbase through Vinkius, your AI agent gets direct access to every tool listed below — spanning aidbase, chatbot-api, knowledge-base-automation, 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_aidbase_faq_item

Add FAQ to knowledge base

add_aidbase_website_knowledge

Add a website to knowledge base

check_aidbase_status

Check API Status

get_aidbase_chatbot

Get Chatbot details

get_aidbase_inbox

Get AI Inbox details

list_aidbase_chatbot_knowledge

List Chatbot knowledge items

list_aidbase_chatbots

List all AI Chatbots

list_aidbase_inbox_knowledge

List Inbox knowledge items

list_aidbase_inboxes

List Email AI Inboxes

list_aidbase_knowledge

List all Knowledge items

send_aidbase_reply

Send a message to a Chatbot

Connect Aidbase to Vercel AI SDK via MCP

Follow these steps to wire Aidbase 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 11 tools from Aidbase and passes them to the LLM

Why Use Vercel AI SDK with the Aidbase MCP Server

Vercel AI SDK provides unique advantages when paired with Aidbase 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 Aidbase integration everywhere

03

Built-in streaming UI primitives let you display Aidbase 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

Aidbase + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Aidbase in Vercel AI SDK

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

01

"List all configured chatbots in my Aidbase account."

02

"Add 'https://docs.vinkius.com/faq' to my AI knowledge base."

03

"Send a message to chatbot 'bot_123': 'What is your refund policy?'."

Troubleshooting Aidbase MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Aidbase + Vercel AI SDK FAQ

Common questions about integrating Aidbase 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.