How to Use the Bybit MCP in LangChain

Build trading chains in LangChain that pull live Bybit market data and execute multi-step logic without manual intervention.

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Connect Bybit MCP to LangChain

Create your Vinkius account to connect Bybit to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain market data through LangChain

Feed live price action directly into your agent's reasoning chain. You can pipe the output of `get_tickers` into a prompt to evaluate current market conditions before deciding on the next logical step. This setup allows you to build autonomous pipelines where each step relies on the latest `get_orderbook` data. Your agent maintains full state awareness as it moves through the chain.

Automate technical analysis with this MCP Server

Calculate trends by chaining `get_kline` history into your analytical agents. You get raw candlestick data in your preferred time intervals, enabling custom indicator logic. Your agent can trigger these calls based on specific events within your chain. It processes the history to identify patterns while keeping latency low for rapid execution.

Monitor derivatives with LangChain agents

Track market sentiment by pulling `get_funding_history` and `get_open_interest` into your agent's workflow. These tools give your pipeline the context needed to understand leverage shifts. By connecting this MCP Server, your agent reads derivatives data as a native step in its process. It uses these metrics to adjust its strategy dynamically.

Setup guide

Set up Bybit MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Bybit tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "bybit-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Bybit transactions"
    })
    print(result["messages"][-1].content)

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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.

Why Choose Vinkius

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Common questions about Bybit MCP in LangChain

You connect this server via the MultiServerMCPClient using your Vinkius endpoint token. Once connected, your agent treats Bybit endpoints as standard tools within your chain.

Yes, your agent can analyze the data returned by this MCP Server to make informed decisions. It reads the market and executes logic based on your custom prompt instructions.

The tools pull the absolute latest state from the exchange. You get the current price or orderbook depth the moment your agent executes the tool call.

Vinkius handles the secure connection so your credentials never touch your local LangChain environment. You only interact with the managed endpoint.

The server only touches public market data like price history and orderbooks. We do not expose or store your private account balance or trade execution history.

Use it with your favorite AI tools

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

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