How to Use the Wemix Explorer MCP in AutoGen

Achieve consensus on blockchain data using AutoGen's multi-agent debate.

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Connect Wemix Explorer MCP to AutoGen

Create your Vinkius account to connect Wemix Explorer 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.

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Setup Wemix Explorer with AutoGen

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Perplexity

Debating transaction risk and validity.

Set up a scenario where one agent is the 'Security Officer.' It uses `get_extrinsic` to analyze a suspicious transfer. A second agent, the 'Compliance Checker,' uses `list_account_info` to verify the account's status. The agents debate the findings until they converge on whether the transaction should be flagged or approved.

Consensus on complex block contents.

You can task multiple agents with analyzing a single event. One agent calls `get_block` to retrieve raw data, while another uses `list_events` to summarize the key actions. They then argue over which interpretation is most accurate. The final decision is based on their negotiation, not just the first tool result.

Verifying asset status through deliberation.

Build a system where one agent checks token availability using `list_tokens`, and another verifies ownership history by calling `list_account_transfers`. They challenge each other's assumptions until they confirm the current, undisputed state of an asset. The negotiation process forces a higher level of data validation than a simple single-call script.

Setup guide

Set up Wemix Explorer 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 Wemix Explorer 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="Wemix Explorer_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Wemix Explorer 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="Wemix Explorer_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Wemix Explorer 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 Wemix Explorer. 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.

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Common questions about Wemix Explorer MCP in AutoGen

It gives the agents verifiable, real-time tools. Instead of arguing theory, they argue based on calls to `get_account_info` or `list_blocks`, grounding their debate in actual network data.

Yes. You can build systems where the answer requires consensus—like debating if a specific token listed via `list_tokens` is legitimate or restricted.

It supports it entirely. The multi-agent framework passes tool outputs to various roles, allowing them to challenge each other's interpretations of data from `get_event`.

It allows multiple agents to work together. One agent might gather the raw data via `list_extrinsics`, and a second agent uses that list to perform deeper checks.

This MCP Server accesses account metadata, block hashes, token listings, and transfer records. All these are used as inputs for the agents' debate process.

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