How to Use the Fireblocks MCP in Vercel AI SDK

Q: How do I list assets using the Fireblocks MCP Server in AI-SDK?

Call listassets through your client instance. It returns the full list of supported tokens, which you can then map to your UI components.

Stream real-time Fireblocks vault data into your AI-SDK interfaces. Manage transactions and assets directly from your React app.

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Connect Fireblocks MCP to Vercel AI SDK

Create your Vinkius account to connect Fireblocks 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 Fireblocks with Vercel AI SDK

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Manage vault accounts and assets in AI-SDK

Use `create_vault_account` and `create_vault_account_asset` to initialize your treasury structure. Your AI-SDK frontend handles the response streams, showing account creation events as they hit the blockchain. Check balances with `get_vault_account_asset` without leaving your execution context. Your UI updates immediately as the data flows through the transport.

Execute transactions via AI-SDK streams

Trigger `create_transaction` to move funds while your agent monitors the status via `get_transaction`. You get granular control over the execution flow without middleware bloat. Run `estimate_network_fee` before you commit to any movement. This keeps your gas costs predictable inside your streaming agent response.

Compliance and audit in AI-SDK apps

Verify every outbound transfer using `validate_travel_rule` before finalizing. This ensures your AI-SDK workflow meets regulatory standards before broadcasting to the network. Pull history with `list_transactions` to render audit logs in your dashboard. You have full visibility into every asset movement triggered by your agent.

Setup guide

Set up Fireblocks 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 Fireblocks 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 Fireblocks 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 Fireblocks. 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

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Common questions about Fireblocks MCP in Vercel AI SDK

Keep your keys on your server-side environment variables. Never expose these directly to your AI-SDK frontend. Use your backend to proxy the MCP requests securely.

Yes, the transport supports real-time data flow. Your AI-SDK interface receives tool outputs as they happen, letting you build live transaction monitors.

Your vault and transaction data stays within your authorized infrastructure. The MCP server acts as a secure pipe, and you control which tools your agent can touch.

Call `list_assets` through your client instance. It returns the full list of supported tokens, which you can then map to your UI components.

All logs reside in your Fireblocks vault. You access them via `list_transactions` to display the raw data inside your AI-SDK application.

Use it with your favorite AI tools

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