OKX MCP Server for LangChainGive LangChain instant access to 6 tools to Amend Order, Cancel Order, Get Balance, and more
LangChain is the leading Python framework for composable LLM applications. Connect OKX through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The OKX MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"okx": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using OKX, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About OKX MCP Server
Connect your OKX trading account to any AI agent to monitor markets and manage your portfolio through natural language.
LangChain's ecosystem of 500+ components combines seamlessly with OKX through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Market Data — Retrieve available instruments for spot, margin, futures, and options trading using
get_instruments. - Account Monitoring — Fetch real-time asset balances with
get_balanceand track active positions across different instrument types withget_positions. - Order Management — Place new trade orders (limit, market, etc.) via
place_order, amend existing ones withamend_order, or cancel pending orders instantly usingcancel_order. - Flexible Trading — Support for various trade modes including cash, cross, and isolated margin directly from your conversation.
The OKX MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 OKX tools available for LangChain
When LangChain connects to OKX through Vinkius, your AI agent gets direct access to every tool listed below — spanning cryptocurrency-trading, portfolio-management, market-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Amend order on OKX
Requires instrument ID and either order ID or client order ID. Amend an existing incomplete order
Cancel order on OKX
Requires instrument ID and either order ID or client order ID. Cancel an incomplete order
Get balance on OKX
Can be filtered by specific currencies. Retrieve asset balances in the trading account
Get instruments on OKX
Can be filtered by instrument type. Retrieve available instruments for the account
Get positions on OKX
Can be filtered by instrument type, instrument ID, or position ID. Retrieve active positions
Place order on OKX
Requires instrument ID, trade mode, side, order type, and size. Place a new trade order
Connect OKX to LangChain via MCP
Follow these steps to wire OKX into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the OKX MCP Server
LangChain provides unique advantages when paired with OKX through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine OKX MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across OKX queries for multi-turn workflows
OKX + LangChain Use Cases
Practical scenarios where LangChain combined with the OKX MCP Server delivers measurable value.
RAG with live data: combine OKX tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query OKX, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain OKX tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every OKX tool call, measure latency, and optimize your agent's performance
Example Prompts for OKX in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with OKX immediately.
"Show me my current USDT and BTC balance on OKX."
"List all my active futures positions."
"Place a market buy order for 0.01 BTC on the BTC-USDT spot market."
Troubleshooting OKX MCP Server with LangChain
Common issues when connecting OKX to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOKX + LangChain FAQ
Common questions about integrating OKX MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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