How to Use the Goldsky (Web3 Data Indexing & Subgraphs) MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream Goldsky (Web3 Data Indexing & Subgraphs) logs?

Yes. You hook into getpipelinelogs and pipe the output to your frontend. It streams the raw execution data as it arrives.

Stream real-time Web3 indexing data directly into your Vercel AI SDK frontends without waiting for loading spinners.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Goldsky (Web3 Data Indexing & Subgraphs) MCP to Vercel AI SDK

Create your Vinkius account to connect Goldsky (Web3 Data Indexing & Subgraphs) 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.

GDPR Free for Subscribers

Setup Goldsky (Web3 Data Indexing & Subgraphs) with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live Pipeline Monitoring in Vercel AI SDK

Feed live indexing status directly into your React components. Use `get_pipeline_status` to push updates to the UI as your data syncs. Your users see the pipeline state change the second it happens. No polling loops needed when you stream tool results through the SDK.

Validate Subgraphs Before Deployment

Catch configuration errors before you push to production. Run `validate_pipeline` inside your edge functions to check your schema against Goldsky (Web3 Data Indexing & Subgraphs) standards. It keeps your deployment process clean. You stop bad configs from ever hitting the network.

Manage Indexing State Programmatically

Control your data flow with `pause_pipeline` and `resume_pipeline` directly from your application logic. It gives you precise control over indexing costs. Your app handles the pipeline lifecycle based on user input. It’s all managed through the Vercel AI SDK.

Setup guide

Set up Goldsky (Web3 Data Indexing & Subgraphs) 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 Goldsky (Web3 Data Indexing & Subgraphs) 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 Goldsky (Web3 Data Indexing & Subgraphs) 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 Goldsky. 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.

Connect Goldsky (Web3 Data Indexing & Subgraphs) now

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 Goldsky (Web3 Data Indexing & Subgraphs) MCP in Vercel AI SDK

Install the MCP client package and initialize it with the server endpoint. From there, you pass the available tools into your streamText call. It exposes the indexing functions as standard tool calls.

Yes. You hook into `get_pipeline_logs` and pipe the output to your frontend. It streams the raw execution data as it arrives.

Absolutely. The transport layer is designed to run in low-latency environments. It handles the connection to your indexing pipelines without adding overhead.

You get full access to the standard set including creation, deletion, and state management. You call these like any other TypeScript function.

The server uses token-based auth to isolate your pipeline metadata. Only your authenticated Vercel AI SDK client can trigger operations or read logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python