How to Use the Aurorascan (Aurora Network L2 Block Explorer API) MCP in AutoGen

Assemble a team of Aurora L2 expert agents that collaborate, debate, and reach consensus on complex on-chain tasks using AutoGen.

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Connect Aurorascan (Aurora Network L2 Block Explorer API) MCP to AutoGen

Create your Vinkius account to connect Aurorascan (Aurora Network L2 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.

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Setup Aurorascan (Aurora Network L2 Block Explorer API) with AutoGen

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Debate On-Chain Strategy

Move beyond simple data fetching and have your agents debate the best course of action. One agent, a 'CostOptimizer,' can use `proxy_estimate_gas` and `proxy_gas_price` to argue for a cheaper transaction. It presents the data to the group. A 'ReliabilityEngineer' agent can counter by using `get_tx_receipt_status` to show the failure rate of similar, cheap transactions. They use data from this MCP Server as evidence in their conversation, leading to a more robust, consensus-driven decision.

Build a Smart Contract Audit Team

Assign specialized roles to a group of agents to perform automated audits. A 'CodeVerifier' agent's only job is to run `verify_source_code`. A 'SecurityAnalyst' agent gets the output and then uses `get_source_code` to scan for common vulnerabilities. Meanwhile, a 'TransactionWatcher' agent uses `get_tx_list_internal` to find related on-chain activity. The agents discuss their findings. The SecurityAnalyst might flag a reentrancy risk, and the TransactionWatcher might point out that a similar contract was just exploited. This is collaborative intelligence.

Create an Autonomous Monitoring Group with AutoGen

Set up a team of agents to watch the Aurora network 24/7. One agent, the 'BlockWatcher,' calls `get_block_reward` to track validator payouts. Another, the 'WhaleWatcher,' uses `get_balance_multi` to monitor a list of high-value wallets. When the WhaleWatcher detects a large transfer, it alerts the group. A 'Forensics' agent is then automatically tasked to use `get_tx_list` and `proxy_get_transaction_by_hash` to piece together what happened. The agents work together, turning passive data into active analysis.

Setup guide

Set up Aurorascan (Aurora Network L2 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 Aurorascan (Aurora Network L2 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="Aurorascan (Aurora Network L2 Block Explorer API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Aurorascan (Aurora Network L2 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="Aurorascan (Aurora Network L2 Block Explorer API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Aurorascan (Aurora Network L2 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 Aurorascan. 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 Aurorascan (Aurora Network L2 Block Explorer API) MCP in AutoGen

When you create each agent, you provide it with a specific list of tools. You can give your 'finance_agent' the `get_eth_price` and `get_balance` tools, while your 'dev_agent' gets `get_source_code` and `proxy_call`.

Yes, that's central to how AutoGen works. An agent can call `get_tx_list`, then post the list of transaction hashes to the group chat. Another agent can then pick up those hashes and use `proxy_get_transaction_receipt` on each one.

A user could ask, 'Is this contract safe to interact with?' One agent gets the source code with `get_source_code`. A second agent reviews it for bugs. A third checks `get_tx_list` for recent failed transactions. They discuss their findings before replying.

Perfectly. The server is stateless, so each tool call from any agent is a separate, atomic operation. This fits right into AutoGen's model where different agents can call tools independently as part of a single conversation.

It is. The server handles requests for public blockchain data, like contract source code and transaction logs. Vinkius ensures your specific queries and API token are kept private by running each session in an ephemeral, zero-trust environment that is destroyed after use.

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