How to Use the Harmonyscan (Harmony One Block Explorer API) MCP in AutoGen

Q: How can I set up a debate between AutoGen agents using the Harmonyscan (Harmony One Block Explorer API)?

Create two AssistantAgent instances. Give both access to the Harmonyscan tools. Then, give them conflicting goals, like 'find the most expensive transaction' and 'find the most suspicious transaction', and have them discuss the output of gettxlist.

Q: Can I use this MCP server to build a financial monitoring system in AutoGen?

Absolutely. You can have one agent use getoneprice and getonesupply to track market cap, while another uses getbalancemulti to monitor a portfolio of wallets. They can then converse to generate a daily report.

Q: What's the easiest way to give my AutoGen agents access to the Harmonyscan (Harmony One Block Explorer API) tools?

Use the autogen-extmcp package. The mcpservertools function takes the server URL and returns a list of tools ready to be passed to your agent's constructor. It's the most direct method.

Q: Can an agent proxy raw RPC calls?

Yes. The proxyrequest tool allows an agent to execute any standard JSON-RPC method. This is perfect for an 'expert' agent that can handle edge cases the other tools don't cover.

Let your AutoGen agents debate and verify Harmony blockchain data. Build systems that analyze on-chain events together.

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Setup Harmonyscan (Harmony One Block Explorer API) with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Agent-Based Contract Analysis

Set up a team of agents to review a smart contract. A 'Code-Analyst' agent uses `get_source_code` to fetch the contract's logic, while a 'Transaction-Auditor' agent uses `get_tx_list_internal` to see how it's being used on-chain. They don't just report findings; they discuss them. The auditor can challenge the analyst based on real-world transaction patterns, leading to a more robust conclusion than a single agent could produce.

Consensus-Driven Event Monitoring

Build a more reliable monitoring system with multiple agents. One agent's job is to watch for specific events using `get_logs`. When it finds a match, it doesn't act alone. It reports the finding to a 'Verifier' agent, which then uses `get_tx_receipt_status` to confirm the transaction was successful and final. The system only triggers an alert or downstream action after both agents agree, preventing false positives from chain reorgs.

Equip Your AutoGen Team Instantly

Give your multi-agent system a direct connection to the Harmony blockchain. Using the `mcp_server_tools` function from the AutoGen extension, you can load all 14 Harmonyscan tools into your agent's skillset with one line of code. This MCP server provides the tools, and the `McpToolAdapter` handles the conversion automatically. You can focus on designing the conversation between your agents, not on writing boilerplate API code.

Setup guide

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

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

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

Create two `AssistantAgent` instances. Give both access to the Harmonyscan tools. Then, give them conflicting goals, like 'find the most expensive transaction' and 'find the most suspicious transaction', and have them discuss the output of `get_tx_list`.

Absolutely. You can have one agent use `get_one_price` and `get_one_supply` to track market cap, while another uses `get_balance_multi` to monitor a portfolio of wallets. They can then converse to generate a daily report.

Use the `autogen-ext[mcp]` package. The `mcp_server_tools` function takes the server URL and returns a list of tools ready to be passed to your agent's constructor. It's the most direct method.

Yes. The `proxy_request` tool allows an agent to execute any standard JSON-RPC method. This is perfect for an 'expert' agent that can handle edge cases the other tools don't cover.

The server itself is stateless. The key thing to watch is the conversation history between agents. If one agent retrieves wallet balances using `get_balance`, that data will be present in the chat logs shared with other agents in the group.

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