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Axonaut MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
Axonaut
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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 Axonaut MCP Server

Transform your business administration with Axonaut, the all-in-one ERP designed for high-velocity teams. By connecting Axonaut to your AI agent, you turn complex organizational management into a natural conversation. Your agent can instantly audit unpaid invoices, list active quotations, manage CRM contacts, and orchestrate team tasks without you ever navigating through dense financial menus. Whether you're tracking expenses or preparing project reports, your agent acts as a direct bridge to your business data, ensuring your operations stay lean and efficient.

The Vercel AI SDK gives every Axonaut 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

  • CRM Orchestration — List and search through company and contact records to maintain a complete view of your business relationships.
  • Financial Auditing — Retrieve and audit lists of invoices, quotations (quotes), and expenses directly through natural language.
  • Task Management — Create, list, and manage team tasks with deadlines and descriptions to keep projects moving forward.
  • Business Oversight — Explore your product catalog, active orders, and project milestones without manual dashboard data entry.
  • Connectivity Check — Instantly verify your account health and retrieve current user context to ensure system integrity.

The Axonaut 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.

How to Connect Axonaut to Vercel AI SDK via MCP

Follow these steps to integrate the Axonaut MCP Server with Vercel AI SDK.

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 Axonaut and passes them to the LLM

Why Use Vercel AI SDK with the Axonaut MCP Server

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

03

Built-in streaming UI primitives let you display Axonaut 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

Axonaut + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Axonaut MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Axonaut to Vercel AI SDK via MCP:

01

create_task

Create a new task

02

get_account_check

Verify Axonaut connection and get current user info

03

get_company

Get details for a specific company

04

list_companies

List all companies in Axonaut

05

list_contacts

List all contacts

06

list_expenses

List all expenses

07

list_invoices

List all invoices

08

list_orders

List all orders

09

list_products

List all products

10

list_projects

List all projects

11

list_quotations

List all quotations (quotes/devis)

12

list_tasks

List all tasks

Example Prompts for Axonaut in Vercel AI SDK

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

01

"List all my invoices from the last 30 days."

02

"Create a task called 'Follow up with New Client' due tomorrow."

03

"Search for a company named 'TechCorp'."

Troubleshooting Axonaut MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Axonaut + Vercel AI SDK FAQ

Common questions about integrating Axonaut 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.

Connect Axonaut to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.