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How to Use the Treblle MCP in Vercel AI SDK

Stream real-time API observability into your UI with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Treblle MCP to Vercel AI SDK

Create your Vinkius account to connect Treblle 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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Real-Time Data Streams for Streaming AI

The `ingest_api_data` tool sends request and response data directly to Treblle. This means your agent can pull live observability metrics that appear right in the user interface, not after a spinner loads up. You're building products where the end-user sees the AI working live. Using this MCP Server lets you stream those API calls as they happen, giving instant feedback on performance and data flow.

Masked Data for Secure Development

When calling `ingest_api_data`, Treblle automatically masks sensitive fields like passwords, CC numbers, and SSNs before transmission. You get the full context of a call—what happened—without ever exposing private user data. This is critical when building client-facing tools. It lets you document and analyze API traffic securely, keeping your users' information locked down while still providing deep insights.

Instant Visibility into API Traffic

The `ingest_api_data` tool helps you monitor and analyze API calls as they happen. You don't wait for batch processing; you get real-time data ingestion of both requests and responses. This immediate observability is key for frontends, especially those built with Vercel AI SDK. It means your agent can react to latency or specific error codes the instant it sees them.

Setup guide

Set up Treblle 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 Treblle 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 Treblle 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 Treblle. 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 Treblle MCP in Vercel AI SDK

Treblle's `ingest_api_data` tool lets you send live API traffic to your agent. When paired with the Vercel AI SDK, this means you can stream those observability results directly into the user interface as they happen.
Absolutely. The MCP Server masks sensitive fields—like passwords and SSNs—before sending them to your agent. This means you get the full context of API calls while keeping user data locked down.
It handles raw request and response data from your APIs, specifically documenting fields like passwords, CCs, and SSNs. The server masks these sensitive data types before it gets passed to your agent.
Yes. Because the tool ingests API traffic in real time, you get instant visibility into request and response data. This immediate feedback loop makes it perfect for streaming architectures like those used with the Vercel AI SDK.
It does. The `ingest_api_data` tool is designed to monitor and analyze general API traffic, handling both successful requests and error responses so your agent has a complete picture.

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