How to Use the Bybit MCP in Vercel AI SDK

Q: How do I configure Bybit tools with Vercel AI SDK?

Install ai and @ai-sdk/mcp, then instantiate the client with your Vinkius HTTP endpoint. Pass the tools directly into streamText or generateText so your agent can query Bybit tickers on demand.

Q: How does Vercel AI SDK handle Bybit connection closures?

Always call mcpClient.close() inside your function execution block. This prevents connection leaks when fetching Bybit candlestick data or funding histories during streaming sessions with this MCP Server.

Q: Can I filter the Bybit instruments returned to the SDK?

Yes, use getinstruments and pass specific filters like symbol or base coin. This prevents your LLM context window from being flooded with unnecessary trading pairs.

Feed live Bybit orderbooks and market tickers directly into your Next.js UI using the Vercel AI SDK.

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Connect Bybit MCP to Vercel AI SDK

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

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Stream live tickers to your Vercel AI SDK frontend

The `get_tickers` tool pulls real-time market prices for spot, linear, inverse, and option categories. Your Next.js frontend renders these prices instantly as the Vercel AI SDK streams the raw JSON straight to the user's viewport. You don't have to wait for a heavy server-side render or block the UI thread. By passing this tool to `streamText`, your UI updates the moment the Bybit API responds, letting users track spot or perpetual pairs without hitting a loading spinner.

Render active orderbooks on the edge

The `get_orderbook` tool exposes current bid and ask price levels up to a depth of 500 levels for derivatives. Your edge functions fetch this raw liquidity data directly from Bybit and pipe it right to the Vercel AI SDK client. This setup lets your interface draw live depth charts on the fly. Because the data passes through our zero-trust V8 isolate sandbox, your users get fast, secure market-depth updates without exposing client-side API keys to the MCP client.

Build interactive charting tools with an MCP Server

The `get_kline` tool pulls candlestick historical data across intervals ranging from one minute to a month. Your agent uses this historical feed to render UI charts directly inside the streaming chat window. Combine this with `get_index_price_kline` and `get_mark_price_kline` to let users compare index and mark prices side-by-side. The Vercel AI SDK handles the async rendering, making complex technical analysis feel instantaneous.

Setup guide

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

Install `ai` and `@ai-sdk/mcp`, then instantiate the client with your Vinkius HTTP endpoint. Pass the tools directly into `streamText` or `generateText` so your agent can query Bybit tickers on demand.

Yes, the Vinkius managed endpoint handles the heavy lifting, making this setup fully compatible with edge runtimes. Your edge functions simply call `mcpClient.tools()` to fetch Bybit orderbooks and tickers.

Always call `mcpClient.close()` inside your function execution block. This prevents connection leaks when fetching Bybit candlestick data or funding histories during streaming sessions with this MCP Server.

Yes, use `get_instruments` and pass specific filters like symbol or base coin. This prevents your LLM context window from being flooded with unnecessary trading pairs.

Vinkius runs this MCP server inside an ephemeral V8 sandbox that processes your market queries without storing them. Your requested Bybit pricing and orderbook data is never cached or used for training models.

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