How to Use the Bitquery (Web3 Blockchain GraphQL APIs) MCP in Vercel AI SDK

Q: Can Vercel AI SDK use Bitquery (Web3 Blockchain GraphQL APIs) for real-time data?

Yes, use the queryv2 tool. It hits the streaming endpoint so your app receives blockchain data as it happens.

Stream Bitquery blockchain data directly into your Vercel AI SDK frontends for live, zero-latency UI updates.

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Connect Bitquery (Web3 Blockchain GraphQL APIs) MCP to Vercel AI SDK

Create your Vinkius account to connect Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery (Web3 Blockchain GraphQL APIs) with Vercel AI SDK

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Generate credentials for Vercel AI SDK

Call `generate_token` to get your access key for the Bitquery API. You pass this token back to your Vercel AI SDK edge functions to secure every request. Storing these credentials in your environment variables keeps your keys private while allowing the client to talk to the blockchain. You avoid hardcoding secrets in your frontend code.

Run V1 queries in Vercel AI SDK

Pass your GraphQL strings to `query_v1` to fetch historical data for Ethereum, Bitcoin, or Solana. The AI client executes these against the Bitquery V1 API instantly. Your app gets raw JSON back immediately. You can pipe this data straight into a React component without waiting for a backend worker.

Stream V2 data in Vercel AI SDK

Use `query_v2` to get real-time results from the Bitquery Streaming API. This tool supports complex filters and joins like `DexTrades` or `BalanceUpdates` directly in your TypeScript code. Your Vercel AI SDK interface shows the data as it hits the chain. Users see live updates instead of staring at a blank loading screen.

Setup guide

Set up Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery. 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 Bitquery (Web3 Blockchain GraphQL APIs) MCP in Vercel AI SDK

Install the MCP client package via npm and point it to the Vinkius URL. Use the `createMCPClient` method in your setup file to initialize the connection.

Yes, use the `query_v2` tool. It hits the streaming endpoint so your app receives blockchain data as it happens.

Vinkius handles the underlying transport security. You manage your own access tokens through the `generate_token` tool, keeping your credentials isolated from the public.

The server returns a standard error message. You should handle this in your TypeScript catch block to display a fallback UI.

It only accesses your Bitquery authentication tokens and the blockchain query parameters you explicitly provide. No private wallet keys or user transaction signatures are ever sent to this server.

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