How to Use the Metisscan (Metis L2 Network Explorer) MCP in AutoGen

Q: How do I pass Metisscan (Metis L2 Network Explorer) tools to my AutoGen agents?

Use mcpservertools to extract the tool list from the server and pass it to your AssistantAgent. The adapter handles the schema conversion automatically.

Debate network findings with multiple agents using the Metisscan MCP Server and AutoGen.

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Connect Metisscan (Metis L2 Network Explorer) MCP to AutoGen

Create your Vinkius account to connect Metisscan (Metis L2 Network Explorer) 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 Metisscan (Metis L2 Network Explorer) with AutoGen

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Perplexity

Enable multi-agent debate on network data

Let your agents argue over the results of `get_transaction` or `eth_call`. One agent can analyze security while another checks gas estimates. This creates a consensus-driven approach. You get a better result because the agents challenge each other's interpretations of the blockchain data.

Use specialized agents for Metisscan queries

Assign specific tasks to different agents. One agent manages the `graphql_query` requests, while another parses the returned data for the user. This offloads the complexity of tool usage. Your agents work together to ensure the final output is accurate and verified.

Automate complex decisions via agent consensus

The McpToolAdapter allows your agents to call Metisscan tools during their conversation. They negotiate the next step based on the data they receive. This is perfect for scenarios where the answer isn't clear. Your agents deliberate on the network state before presenting you with a final conclusion.

Setup guide

Set up Metisscan (Metis L2 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 Metisscan (Metis L2 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="Metisscan (Metis L2 Network Explorer)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Metisscan (Metis L2 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 Metisscan. 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 Metisscan (Metis L2 Network Explorer) MCP in AutoGen

Absolutely. You can give multiple agents access to the same tool set, allowing them to cross-reference each other's findings from the explorer.

Use mcp_server_tools to extract the tool list from the server and pass it to your AssistantAgent. The adapter handles the schema conversion automatically.

It supports both stdio and Streamable HTTP. Choose the transport that fits your deployment environment for the best performance.

The McpToolAdapter maps the tools directly into the agent's capability set. Your agents will understand how to use these tools through the provided schema.

The server uses an isolated sandbox for every request. Only the data returned from the public explorer is processed within your agent conversation.

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