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How to Use the AntChain MCP in LangChain

Chain AntChain operations directly into your LangChain agents to automate blockchain interactions and logic.

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Works with every AI agent you already use

…and any MCP-compatible client

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LangChain

Connect AntChain MCP to LangChain

Create your Vinkius account to connect AntChain 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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Build automated blockchain workflows in LangChain

Connect your agents to AntChain to execute complex logic without manual input. Use `deploy_contract` to push code live or `invoke_contract` to trigger methods within your chain. Your agents parse the results immediately. Since LangChain handles the output of one tool as input for the next, you can verify transaction status via `query_transaction` right after a deployment completes.

Monitor AntChain networks using LangSmith tracing

Keep a close eye on your infrastructure by pulling live data into your agents. Use `get_chain_list` to identify active networks and `query_network_info` to check current health metrics. Every tool call shows up in your logs. You get full visibility into how your chain interacts with the blockchain, making it easier to spot errors during development.

Audit accounts and transactions with MCP tools

Your agent can fetch specific financial data whenever you need it. Call `query_account_balance` to check if you have enough gas or `query_latest_transactions` to review recent network history. This MCP server gives your agent the ability to act as a financial auditor. It pulls raw blockchain data, letting the agent make decisions based on the current state of your accounts.

Setup guide

Set up AntChain MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes AntChain tool calls through the MCP protocol.

  4. 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({
    "antchain-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 AntChain transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AntChain. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AntChain MCP in LangChain

You connect by installing the required adapters and passing the server URL to your agent. Once you call the tools, the agent handles the connection automatically.
Yes. The agent evaluates the tool definitions and decides when to call them based on the task you provide.
It provides live data whenever your agent triggers a query tool. You get the state of the blockchain exactly when the tool executes.
LangChain catches the exceptions returned by the tools. You should use a try-except block in your logic to manage failed transactions or invalid contract calls.
The server only touches public blockchain state, transaction hashes, and account metadata. It does not handle your private keys, keeping sensitive credentials outside of the agent's memory.

Start using the AntChain MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for AntChain. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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