How to Use the Celoscan (Celo Network Explorer) MCP in AutoGen

Q: Can AutoGen agents independently decide to check a Celo block status using Celoscan (Celo Network Explorer)?

Yes. An agent can choose to call getblockcountdown based on the flow of the conversation, especially if it needs to estimate when a transaction will clear.

Let your AutoGen agents debate and verify Celo transactions using live explorer data.

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Connect Celoscan (Celo Network Explorer) MCP to AutoGen

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Setup Celoscan (Celo Network Explorer) with AutoGen

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Multi-Agent Consensus on Smart Contracts

Build a team of agents that analyze smart contracts before interacting with them using this MCP Server. One agent pulls the source code using `get_contract_source_code` while another inspects the ABI via `get_contract_abi`. They debate the safety of the contract in an AutoGen group chat. They only approve action once both agree the verified code matches your safety requirements.

Automated Transaction Verification in AutoGen

Set up a dual-agent system to track and verify high-value transfers. A monitoring agent calls `get_normal_transactions` to detect incoming payments on a specific address. An auditor agent then calls `get_transaction_receipt_status` to confirm the block receipt is valid. The agents coordinate to log the transaction only after consensus is reached.

Multi-Agent Celo Market Analysis

Run parallel agents that analyze network health and market price. One agent tracks supply metrics using `get_total_celo_supply` while another monitors `get_last_celo_price`. This MCP Server provides the raw ground truth that the agents use to write their reports. They debate the correlation between block rewards from `get_block_reward` and token velocity.

Setup guide

Set up Celoscan (Celo Network 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 Celoscan (Celo Network 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="Celoscan (Celo Network Explorer)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Celoscan (Celo Network Explorer) 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="Celoscan (Celo Network Explorer)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Celoscan (Celo Network 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 Celoscan. 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 Celoscan (Celo Network Explorer) MCP in AutoGen

You register the server's tools with your AutoGen assistant agents. They can then invoke tools like `get_account_balance_multi` during their conversations to resolve technical debates.

Yes. An agent can choose to call `get_block_countdown` based on the flow of the conversation, especially if it needs to estimate when a transaction will clear.

You can set execution limits in AutoGen or restrict the tool library. This prevents agents from calling `get_erc20_transfers` repeatedly via the MCP interface.

Yes, the server supports streamable HTTP transport. You can connect your AutoGen agents to the hosted endpoint using the standard MCP adapter.

Yes. The queries for transaction hashes and address balances are routed securely through the Vinkius sandbox to the Celoscan endpoints. Your local agent configurations remain strictly confidential.

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