How to Use the AntChain MCP in AutoGen

Let your AutoGen agents debate and execute AntChain transactions based on consensus.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AntChain MCP to AutoGen

Create your Vinkius account to connect AntChain to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup AntChain with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Deploy contracts via AutoGen multi-agent teams

Set up a specialized agent to handle `deploy_contract` calls while another verifies the bytecode. This ensures your deployments go through a review process before hitting the network. You reduce risk by requiring consensus. The agents talk to each other to confirm the deployment parameters are correct.

Debate AntChain transaction status in AutoGen

Have one agent call `query_transaction` and another analyze the result. If the transaction fails, they discuss why and decide on a retry strategy. This removes the need for you to watch the console. The agents handle the back-and-forth until the transaction is settled.

Analyze network health with AutoGen agents

Use `query_network_info` and `get_chain_list` to keep your multi-agent system informed. Agents can adjust their behavior if the network shows signs of congestion. Your system adapts to the environment. It makes decisions based on the live blockchain data rather than static configurations.

Setup guide

Set up AntChain MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes AntChain tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="AntChain_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent AntChain data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="AntChain_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent AntChain data")
    print(result.messages[-1].content)

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 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.

Connect AntChain now

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 AutoGen

You pass the tool list to the agent constructor. Each agent in your group chat can then invoke the tools as needed for their part of the task.

Yes. That is the point of the framework. Agents will challenge each other's tool calls until they agree on the correct transaction parameters.

The MCP adapter converts tools into a format the agents understand. They treat these tools as actions they can take during their conversation.

You provide the necessary credentials to the server. The agents inherit these permissions when they call the tools through the MCP interface.

The server restricts access to blockchain metadata and transaction logs. Your private keys and internal agent discussion logs remain isolated from the public chain data.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript