How do I get my AntChain Access Key and Secret Key?

Log in to the AntChain BaaS console, navigate to the API Management or Developer Center section, and create a new API credential pair. You'll receive an Access Key (public identifier) and a Secret Key (used for HMAC-SHA256 signature generation). The Secret Key is shown only once — save it immediately. These credentials authenticate all your API requests.

What's the difference between querying a block and querying a transaction?

A block query returns information about the container itself — block height, hash, timestamp, transaction count, and the previous block hash. A transaction query returns details about a specific operation within a block — sender/receiver addresses, gas used, execution status, return values, and whether the transaction succeeded or reverted. Use blocks to explore the chain structure, and transactions to verify individual operations.

Can I deploy smart contracts through this MCP server?

Yes! Use the `deploy_contract` tool to upload and deploy compiled smart contract bytecode to your AntChain network. You'll need the contract bytecode (in hex format), a name for the contract, and optionally the ABI for future interactions. After deployment, you can invoke contract methods using the `invoke_contract` tool. Make sure your account has sufficient permissions and balance for deployment.

AntChain MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: AntChain
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect AntChain through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "antchain": {
            "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 AntChain, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 AntChain MCP Server

Connect your AntChain (蚂蚁链) BaaS platform account to any AI agent and gain complete visibility and control over your enterprise blockchain operations through natural conversation. AntChain is Alibaba Group's blockchain-as-a-service platform, designed for consortium chains, enterprise smart contracts, and secure decentralized applications.

LangChain's ecosystem of 500+ components combines seamlessly with AntChain through native MCP adapters. Connect 10 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

Block Exploration — Query detailed information about any block by height or hash, including transaction counts and timestamps
Transaction Tracking — Inspect individual transactions by hash or ID, verifying status, gas consumption, and execution results
Smart Contract Management — Deploy new contracts, invoke contract methods, and query contract metadata and ABIs
Account Inspection — Check account balances, nonce values, and metadata for any wallet address on the chain
Network Monitoring — View network topology, node status, consensus state, and chain health metrics
Chain Discovery — List all blockchain networks available to your organization with their configurations
Recent Activity — Monitor the latest transactions and network activity in real-time

The AntChain MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect AntChain to LangChain via MCP

Follow these steps to integrate the AntChain MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from AntChain via MCP

Why Use LangChain with the AntChain MCP Server

LangChain provides unique advantages when paired with AntChain through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine AntChain 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 AntChain queries for multi-turn workflows

AntChain + LangChain Use Cases

Practical scenarios where LangChain combined with the AntChain MCP Server delivers measurable value.

RAG with live data: combine AntChain tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query AntChain, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain AntChain tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every AntChain tool call, measure latency, and optimize your agent's performance

AntChain MCP Tools for LangChain (10)

These 10 tools become available when you connect AntChain to LangChain via MCP:

deploy_contract

Requires the contract bytecode (compiled bytecode in hex format) and optionally the ABI (Application Binary Interface) for interaction. Returns the deployed contract address and deployment transaction details. The contract will be available under the specified name. Deploy a smart contract on AntChain

get_chain_list

Returns chain IDs, names, creation dates, status, and basic configuration. Use this to discover which blockchains you have access to before performing operations. List all available blockchain networks in your AntChain account

invoke_contract

Provide the contract name, method name, and any required arguments. Returns the execution result including return values, gas consumption, and transaction status. Use this to interact with deployed contracts. Invoke a smart contract method on AntChain

query_account

Use this to inspect account state and activity. Query account information on AntChain

query_account_balance

Returns the available balance and any locked/pending amounts. Useful for checking if an account has sufficient funds for transactions or contract interactions. Query account balance on AntChain

query_block

Returns block metadata including timestamp, transaction count, hash, and previous block reference. Use either blockHeight or blockHash to identify the block. Query block details from an AntChain blockchain

query_contract

Useful for inspecting contract configuration before invocation. Query smart contract information on AntChain

query_latest_transactions

Useful for monitoring network activity, auditing recent transactions, or getting a snapshot of current blockchain operations. Returns a list of recent transactions with their status and metadata. Query the latest transactions on an AntChain blockchain

query_network_info

Useful for monitoring blockchain infrastructure health. Query blockchain network information on AntChain

query_transaction

Returns transaction status, sender, receiver, gas used, block inclusion, and execution result. Useful for verifying transaction finality and inspecting transaction details. Query a transaction on AntChain

Example Prompts for AntChain in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with AntChain immediately.

"Show me the latest 5 transactions on my default AntChain network."

"What's the balance of account 0x742d35Cc6634C0532925a3b844Bc9e7595e0bFa8?"

"Invoke the 'transfer' method on contract 'TokenContract' with args {"to": "0x123...", "amount": 100}."

Troubleshooting AntChain MCP Server with LangChain

Common issues when connecting AntChain to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

AntChain + LangChain FAQ

Common questions about integrating AntChain MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.