How to Use the IoTeX (IoTeX Block Explorer API) MCP in AutoGen

Build multi-agent AutoGen networks that debate, verify, and audit live IoTeX blockchain data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect IoTeX (IoTeX Block Explorer API) MCP to AutoGen

Create your Vinkius account to connect IoTeX (IoTeX Block Explorer API) 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 IoTeX (IoTeX Block Explorer API) with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate chain states via multi-agent consensus

The `get_block_by_height` and `get_block_by_hash` tools provide the ground truth for your auditing agents using this MCP setup. In an AutoGen setup, one agent can query a specific block while a second agent verifies the transactions inside it, ensuring complete alignment before triggering off-chain actions. This collaborative verification means you don't run into execution errors. Your agents debate the validity of block metadata, confirming transaction counts and block times using raw ledger data rather than relying on a single agent's interpretation.

Audit token distributions using this MCP Server

The `get_token` and `get_token_holders` tools allow your agents to scrutinize asset holdings and contract configurations. One agent can retrieve the token details while another analyzes the holder distribution to flag concentration risks or suspicious wallet activity. This division of labor makes audits highly reliable. By separating the data gathering from the statistical analysis, your AutoGen team delivers objective reports based on live blockchain facts.

Coordinate multi-agent transaction monitoring

The `get_recent_actions` and `get_account_actions` tools stream transaction histories directly to your monitoring agents via the MCP. A specialized tracker agent monitors a wallet address, feeds new actions to an analyst agent, and triggers a compliance agent if an unusual transaction occurs. You get a fully automated security desk. The agents coordinate their analysis in real time, using direct queries to trace the flow of funds across accounts without human intervention.

Setup guide

Set up IoTeX (IoTeX Block Explorer API) 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 IoTeX (IoTeX Block Explorer API) 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="IoTeX (IoTeX Block Explorer API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent IoTeX (IoTeX Block Explorer API) 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="IoTeX (IoTeX Block Explorer API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent IoTeX (IoTeX Block Explorer API) 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 IoTeX. 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 IoTeX (IoTeX Block Explorer API) 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 IoTeX (IoTeX Block Explorer API) MCP in AutoGen

You use the MCP tool adapter to convert the server's endpoints into AutoGen-compatible tools. Once registered, you pass the tool list to your AssistantAgent, allowing any agent in your conversation group to query blockchain data.

Yes, that is the core strength of the framework. A data-retriever agent calls `get_account` to fetch wallet balances, then passes that raw payload to a decision-maker agent who determines if the wallet has sufficient funds to proceed.

The agents use structured debate to resolve discrepancies. If one agent queries `get_recent_actions` and another queries `get_action` for a specific hash, they compare the block heights and transaction statuses in their chat history until they reach a consensus.

Yes, you can assign different token contracts to separate monitoring agents. Each agent uses `get_token` and `get_token_holders` to watch their assigned asset, sharing updates in the group chat whenever significant holder shifts occur.

The tools only access public ledger info like account addresses, transaction hashes, and block numbers. No private keys or secret data are ever touched. Vinkius runs the server in an ephemeral sandbox, meaning your agent conversations and query parameters are never logged or stored.

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