How to Use the BlockCypher (Multi-chain Blockchain Developer API) MCP in Vercel AI SDK

Stream real-time blockchain data directly into your Vercel AI SDK frontends with the BlockCypher MCP Server.

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Connect BlockCypher (Multi-chain Blockchain Developer API) MCP to Vercel AI SDK

Create your Vinkius account to connect BlockCypher (Multi-chain Blockchain Developer API) 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 BlockCypher (Multi-chain Blockchain Developer API) with Vercel AI SDK

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Live blockchain data for Vercel AI SDK

Feed live transaction and address data straight into your React components. Use `get_transaction` or `get_address` to push live state updates to your users without waiting for a backend poll. Your UI reacts instantly as the data streams in. By integrating this MCP Server, you skip the middleman and let your app display chain status as it happens.

Automated transaction construction

Generate raw transaction skeletons using `new_transaction` directly from your edge functions. This allows your app to prepare data for signing before broadcasting. Your users get a faster experience when the heavy lifting happens on the server side. You keep the logic clean by keeping the signing process separate from the data preparation.

Real-time network event monitoring

Set up instant notifications for specific wallet activity using `create_webhook`. Your Vercel AI SDK app receives a ping the moment a transaction hits the mempool. This keeps your application state perfectly synced with the chain. Stop guessing about balance changes and let the server tell you exactly when funds arrive.

Setup guide

Set up BlockCypher (Multi-chain Blockchain Developer API) 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 BlockCypher (Multi-chain Blockchain Developer API) 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 BlockCypher (Multi-chain Blockchain Developer API) transactions",
});

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

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Common questions about BlockCypher (Multi-chain Blockchain Developer API) MCP in Vercel AI SDK

Install the MCP client package via npm and initialize the connection with your Vinkius endpoint. Pass the tools retrieved from the server into your streamText function to start executing queries.

Yes, you can include your token within the auth provider configuration during setup. This ensures every request to the server is authorized before the code executes.

The server responds quickly enough to keep your UI stream fluid. Since it talks directly to the chain, you avoid the latency common with complex middleware layers.

The MCP client will return an error object that your UI can catch and display. You should handle these cases in your agent logic to ensure the stream stays active.

We keep your token isolated within the V8 sandbox environment on our side. The raw key never touches your frontend code, so it remains shielded from unauthorized access.

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