How to Use the Bling ERP MCP in Vercel AI SDK

Q: How do I connect Bling ERP to my Vercel AI SDK project?

Install @ai-sdk/mcp and ai. Initialize the connection using createMCPClient with your Vinkius HTTP endpoint URL. Pass the tools directly into streamText or generateText to let your agent call Bling ERP functions.

Q: Can I stream live invoice status updates from Bling ERP using Vercel AI SDK?

Yes. When your agent calls consultarnfe, the Vercel AI SDK streams the raw tool output straight to your React or Next.js frontend. The user sees the invoice status update in real time without a loading spinner.

Q: How does the agent handle product categorization during registration?

The agent runs categoriasprodutos to fetch your current catalog structure before calling incluirproduto. This prevents categorization errors by ensuring the new product matches an existing ERP category.

Stream Bling ERP tax and order data directly into your React frontends using the Vercel AI SDK.

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Connect Bling ERP MCP to Vercel AI SDK

Create your Vinkius account to connect Bling ERP 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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Setup Bling ERP with Vercel AI SDK

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Real-Time Tax and Invoice Streaming

The `listar_nfe` and `consultar_nfe` tools give your UI immediate access to Brazilian fiscal documents without making users wait for a full page reload. Your Vercel AI SDK application calls these tools to grab specific tax details, then pipes the raw JSON payload straight into active UI components. Instead of displaying a blank loading screen while fetching complex tax data, your edge-rendered frontend displays live status updates as they come in. Users see invoice lines, tax values, and issuer details render piece by piece as the server processes the payload.

Live Inventory and Category Updates

The `listar_produtos` and `categorias_produtos` tools expose your entire Bling ERP product catalog to your user-facing applications. Your agent reads raw inventory numbers and product groups to answer stock questions instantly. Because the Vercel AI SDK handles real-time streams, you can build search bars where product details fill in as the agent finds them. There is no middleman database sync needed; the UI displays live ERP inventory levels retrieved directly from the source.

Direct Customer Registry via Vercel AI SDK MCP Server

The `incluir_contato` and `consultar_contato` tools let your frontend application register new clients and suppliers on the fly. Your agent collects user input, formats the contact data, and commits it directly to your ERP. Using this MCP Server setup on Vercel Edge Functions ensures fast execution times without cold-start delays. You get a clean, direct connection to Bling ERP that runs in a secure sandbox, keeping customer records isolated and safe.

Setup guide

Set up Bling ERP 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

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
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

Discover and use tools

Call mcpClient.tools() to auto-discover all Bling ERP tools. Pass them directly to generateText() or streamText() — 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.

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 Bling ERP transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bling. 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.

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Common questions about Bling ERP MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and `ai`. Initialize the connection using `createMCPClient` with your Vinkius HTTP endpoint URL. Pass the tools directly into `streamText` or `generateText` to let your agent call Bling ERP functions.

Yes. When your agent calls `consultar_nfe`, the Vercel AI SDK streams the raw tool output straight to your React or Next.js frontend. The user sees the invoice status update in real time without a loading spinner.

Yes. The Vinkius MCP Server runs in an isolated V8 sandbox, making it compatible with edge runtimes. You just need to initialize the client and remember to call `mcpClient.close()` when the execution finishes to prevent hanging connections.

The agent runs `categorias_produtos` to fetch your current catalog structure before calling `incluir_produto`. This prevents categorization errors by ensuring the new product matches an existing ERP category.

Vinkius routes all requests through ephemeral, zero-trust V8 sandboxes. Your API keys and Brazilian tax documents never persist on disk, and the connection uses a single secure endpoint token to prevent unauthorized external access.

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