How to Use the Arbiscan (Arbitrum Explorer) MCP in AutoGen
Build multi-agent debates in AutoGen using live Arbitrum blockchain data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Arbiscan (Arbitrum Explorer) MCP to AutoGen
Create your Vinkius account to connect Arbiscan (Arbitrum 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.
Let agents debate smart contract security
`get_source_code` is an MCP tool that retrieves verified contract code from the Arbitrum network. In AutoGen, one agent can fetch this code while a security auditor agent reviews it for vulnerabilities. The two agents debate the contract's safety in a conversation loop. They won't stop until they reach a consensus on whether the code is safe to interact with.
Coordinate multi-agent wallet audits
`get_tx_list` is an MCP tool that lists normal transactions for any Arbitrum address. Your AutoGen supervisor agent can assign this tool to a data-gatherer agent, then pass the output to an analyst agent. This multi-agent setup lets you isolate tasks. One agent focuses on pulling transaction lists, while another calculates gas spend using `get_tx_receipt_status` to find inefficiencies.
Monitor Arbitrum network status via MCP Server
`get_block_countdown` is a tool that estimates the countdown time for a specific block number on Arbitrum. Your AutoGen agents can track this countdown to coordinate timed actions, like deploying a contract or checking a reward. An agent can monitor this countdown and alert a second agent to call `get_block_reward` once the block is mined. This lets you build fully automated, time-sensitive coordination loops.
Set up Arbiscan (Arbitrum 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Arbiscan (Arbitrum Explorer) tools and returns structured results.
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="Arbiscan (Arbitrum Explorer)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Arbiscan (Arbitrum Explorer) data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Arbiscan (Arbitrum Explorer)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Arbiscan (Arbitrum Explorer) data")
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 Arbiscan. 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 Arbiscan (Arbitrum Explorer) MCP in AutoGen
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