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

Q: How do I get a verified picture of transaction activity with Zetachain Explorer (ZetaChain Block Explorer API) using AutoGen?

You assign agents roles: one to call listtransactions and another to check the details via gettransaction. They debate the findings until they converge on the most complete view, flagging any inconsistencies.

Q: Can I use AutoGen to verify token transfers with Zetachain Explorer (ZetaChain Block Explorer API)?

Yes. You can set up agents that compare gettokentransfers outputs against the recorded transaction logs (gettransactionlogs). The debate forces a reconciliation of these different data sources.

Q: What if I need to find token holders for an entire contract with Zetachain Explorer (ZetaChain Block Explorer API) using AutoGen?

You deploy agents that systematically check gettokenholders and cross-reference this data against the list of known tokens via listtokens. The process mimics a full, deliberative audit.

Q: Does Zetachain Explorer (ZetaChain Block Explorer API) support listing all available blocks using AutoGen?

A dedicated agent can call listblocks to gather the recent block list. Another agent then verifies that this list is up-to-date by checking the latest recorded transaction hashes.

Run multi-agent debates on Zetachain data with AutoGen. Agents challenge each other to find the definitive answer from Zetachain Explorer (ZetaChain Block Explorer API).

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Setup Zetachain Explorer (ZetaChain Block Explorer API) with AutoGen

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Debating Transaction Validity

You can set up a debate where one agent checks a transaction's general status using `get_transaction`, while another uses `get_transaction_logs` to verify the emitted events. They argue over whether the data matches, forcing deep analysis. If they disagree, a third agent might call `get_block` to confirm the block context, ensuring consensus on the truth.

Reconciling Address and Token Data

Use agents to resolve discrepancies. One agent pulls all activity for an address via `get_address_transactions`. A second agent cross-references that with `get_address_token_balances` to see if the reported token amounts match the transaction history. The debate continues until they agree on the final, accurate state of the account.

Forensically Analyzing Smart Contracts

Set up a negotiation between agents. One agent pulls smart contract details (`get_smart_contract`), while another calls `get_transaction_internal` using specific hashes. They debate whether the code's stated function matches the actual execution data. This consensus-driven approach is perfect for auditing complex DeFi interactions.

Setup guide

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

result = await agent.run("List recent Zetachain Explorer (ZetaChain Block Explorer API) data")
print(result.messages[-1].content)

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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="Zetachain Explorer (ZetaChain Block Explorer API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

You assign agents roles: one to call `list_transactions` and another to check the details via `get_transaction`. They debate the findings until they converge on the most complete view, flagging any inconsistencies.

Yes. You can set up agents that compare `get_token_transfers` outputs against the recorded transaction logs (`get_transaction_logs`). The debate forces a reconciliation of these different data sources.

You deploy agents that systematically check `get_token_holders` and cross-reference this data against the list of known tokens via `list_tokens`. The process mimics a full, deliberative audit.

A dedicated agent can call `list_blocks` to gather the recent block list. Another agent then verifies that this list is up-to-date by checking the latest recorded transaction hashes.

The server only interacts with public blockchain records. The specific data types it accesses include block hashes, wallet addresses, and token transfer logs.

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