How to Use the FtmScan (Fantom Network Explorer) MCP in AutoGen

Q: How do I hook up the FtmScan (Fantom Network Explorer) MCP Server to AutoGen?

Install the extensions via pip install -U "autogen-extmcp". Pass your Vinkius server URL to StreamableHttpServerParams, extract the tools, and inject them into your AssistantAgent constructor.

Q: Can multiple AutoGen agents use FtmScan (Fantom Network Explorer) tools simultaneously?

Yes, the McpToolAdapter handles schema conversion so any agent in your group chat can invoke tools like getftmbalancemulti or getlogs as needed during their conversation.

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Setup FtmScan (Fantom Network Explorer) with AutoGen

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Debate transaction status in AutoGen

`get_transaction_status` checks whether a specific transaction execution succeeded or failed on the Fantom network. In an AutoGen group chat, a security agent can use this tool to verify a tx hash while a finance agent calculates the gas cost. They compare the execution status with `get_transaction_receipt_status` to ensure no smart contract errors occurred. This multi-agent verification prevents a single model from misinterpreting raw transaction results.

Audit token transfers via an MCP Server

`get_erc20_transfers` fetches the transfer events for any token address on Fantom. Your specialized auditing agents can divide the work, with one agent tracking sender wallets and another analyzing recipient behaviors. By sharing tool outputs in a structured debate, they build a complete picture of asset movements. This method spots suspicious transfer patterns much faster than a single agent working in isolation.

Verify contract source code as a team

`get_contract_source_code` retrieves the raw code of any verified contract. A code-reviewer agent inspects the Solidity files while a deployment agent checks the current ABI using `get_contract_abi`. They cross-reference their findings to confirm the contract behaves as expected. This collaborative check ensures that your automated systems never interact with unverified or malicious code.

Setup guide

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

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

    result = await agent.run("List recent FtmScan (Fantom Network Explorer) data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FtmScan. 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 FtmScan (Fantom Network Explorer) MCP in AutoGen

Install the extensions via `pip install -U "autogen-ext[mcp]"`. Pass your Vinkius server URL to `StreamableHttpServerParams`, extract the tools, and inject them into your `AssistantAgent` constructor.

Yes, the `McpToolAdapter` handles schema conversion so any agent in your group chat can invoke tools like `get_ftm_balance_multi` or `get_logs` as needed during their conversation.

Agents use debate to resolve discrepancies. For instance, if one agent checks `get_ftm_balance` and another checks token balances, they discuss the results in the chat history to form a unified balance sheet.

Yes, AutoGen supports both transport layers. When running on Vinkius, you will typically use the Streamable HTTP transport to access your isolated server securely.

Your requests for FTM holdings, ERC20 transfers, and block details are isolated in a secure runtime container. We use one-way token authentication to verify your client, ensuring no external entity can eavesdrop on the ledger queries your agents execute.

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