How to Use the Axonaut MCP in Vercel AI SDK
Pull your Axonaut ERP data into Vercel AI SDK frontends. Build live interfaces that show invoices and tasks as they stream in.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Axonaut MCP to Vercel AI SDK
Create your Vinkius account to connect Axonaut 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.
Real-time Axonaut data for Vercel AI SDK
Stop waiting for loading spinners. This MCP server pushes invoice and project data directly into your React components using `list_invoices` and `list_projects`. Your users watch the numbers populate as your agent fetches them. It makes complex ERP records feel like a native part of your interface.
Manage company CRM records in Vercel AI SDK
Your agent handles company lookups without leaving the browser session. Use `list_companies` and `get_company` to grab client details on the fly. It keeps your front-end state in sync with your back-office data. No extra API plumbing is required to bridge the gap.
Execute Axonaut tasks from Vercel AI SDK
Trigger actions directly from your web app. Your agent creates new entries using `create_task` while the user watches the confirmation signal. This creates a tight loop between user intent and ERP execution. It works perfectly within Edge Function constraints for fast responses.
Set up Axonaut MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Axonaut tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 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.
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 Axonaut 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 Axonaut. 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 Axonaut MCP in Vercel AI SDK
Use it with your favorite AI tools
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