How to Use the Blocknative (Ethereum Mempool API) MCP in AutoGen

Let your AutoGen agents debate transaction costs using live Blocknative mempool data.

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Connect Blocknative (Ethereum Mempool API) MCP to AutoGen

Create your Vinkius account to connect Blocknative (Ethereum Mempool API) 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 Blocknative (Ethereum Mempool API) with AutoGen

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Perplexity

Consensus-based gas strategy for AutoGen

Assign one agent to watch `get_gas_prices` while another handles transaction execution. They negotiate the best time to submit based on mempool congestion. This prevents impulsive spending. The agents compare the current gas price against your defined budget constraints before moving forward.

Multi-agent negotiation on fees

Your security agent can flag high gas prices as a risk. The execution agent then pulls updated data from the MCP Server to wait for a cheaper window. They reach a consensus before the transaction hits the network. This keeps your AutoGen system disciplined and cost-effective.

Automated error handling across agents

If an agent fails due to gas spikes, another agent uses the `get_gas_prices` tool to diagnose the network state. They decide together how to adjust the strategy. This makes your system resilient. It stops agents from blindly retrying transactions that are destined to fail.

Setup guide

Set up Blocknative (Ethereum Mempool 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 Blocknative (Ethereum Mempool 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="Blocknative (Ethereum Mempool API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Blocknative (Ethereum Mempool 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="Blocknative (Ethereum Mempool API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Blocknative (Ethereum Mempool API) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Blocknative (Ethereum Mempool API) MCP in AutoGen

The agents exchange the gas price results through their conversation history. This allows the team to agree on a path forward.

Yes. You can program a gatekeeper agent that checks the gas tool output and refuses to approve transactions above a certain price.

The MCP tools are available to all agents in your group chat. Any agent with the right permissions can invoke the gas tool.

You can print the conversation logs to your console. This shows you exactly when an agent queried the gas tool and how the others reacted.

Your endpoint token is handled by the Vinkius infrastructure. The server only handles gas price queries and never sees your private credentials or wallet keys.

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