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How to Use the Konfío MCP in Vercel AI SDK

Build Next.js interfaces that stream real-time Konfío invoice and loan data directly to your users using the Vercel AI SDK.

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Vercel AI SDK

Connect Konfío MCP to Vercel AI SDK

Create your Vinkius account to connect Konfío 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.

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Stream SAT-Compliant CFDIs in Real-Time

The `create_invoice` tool generates Mexican tax-compliant electronic invoices directly inside your Next.js application using our MCP Server configuration. Your AI client calls this tool to execute tax filings and emit CFDIs without making the user wait for a page reload. By feeding the tool output straight into Vercel AI SDK stream helpers, your frontend displays verified RFC details and tax regimes the exact millisecond the Mexican tax authority registers the transaction.

Real-Time Credit Monitoring on the Edge

The `check_credit_status` tool fetches current credit ratings and eligibility metrics from your Konfío profile. Running this on edge functions ensures your AI client gets instant access to credit health indicators without server-side bottlenecks. Users watch their credit limits and eligibility status render dynamically. The Vercel AI SDK handles the underlying SSE connection, letting you map credit scores directly to React components as the data flows from the Konfío API.

Manage Card Statements in Your Vercel AI SDK UI

The `get_cc_statement` tool retrieves monthly credit card statements and transaction histories directly from Konfío. We built this to feed active financial statements straight into your streaming UI components. This MCP Server connects your Next.js frontend directly to corporate card metrics. Your AI client parses transactions and maps them to custom charts, giving users immediate clarity on their business expenses.

Setup guide

Set up Konfío 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 Konfío 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 Konfío 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 Konfío. 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

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Real-time monitoring

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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 Konfío MCP in Vercel AI SDK

Install the packages using npm, then initialize the connection with `createMCPClient` pointing to your Vinkius MCP endpoint. Pass the tools directly into `streamText` or `generateText` to let your agent manage financial operations.
Yes, this server runs inside Vinkius's V8 isolate sandbox, making it compatible with edge runtime environments. Your Vercel AI SDK client calls the endpoints with minimal latency.
You configure the `authProvider` option when setting up `createMCPClient`. Vinkius manages the underlying token exchange, so your frontend code never exposes sensitive banking credentials.
The SDK catches the API error and streams the failure state directly to your UI components. You can write custom error boundaries to let users retry the bank transfer manually.
Every request travels through an ephemeral, zero-trust V8 sandbox on this MCP Server. Your credit card statements and CFDI tax records are never stored on our servers, ensuring your sensitive Mexican financial data remains private.

Start using the Konfío MCP today

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Built & Managed by Vinkius 30s setup 14 tools

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

No hosting. No infrastructure. No complex setup.
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