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

Q: How do I add the Blocknative (Ethereum Mempool API) to a CrewAI agent?

Pass the Vinkius MCP URL directly into the agent's mcps parameter list. CrewAI automatically handles the tool discovery and setup.

Let your CrewAI agent teams monitor and act on Blocknative Ethereum gas prices autonomously.

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Connect Blocknative (Ethereum Mempool API) MCP to CrewAI

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

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Multi-agent gas monitoring using this MCP Server

Assign one CrewAI agent to watch the mempool while another prepares transactions. The monitoring agent uses `get_gas_prices` to feed real-time Blocknative data to the rest of the crew. This division of labor keeps your operations efficient. The transaction agent doesn't waste execution cycles checking fees; it simply waits for the monitor's signal.

Autonomous transaction scheduling in CrewAI

Your crew can coordinate complex DeFi moves. When gas is low, the planning agent triggers the execution agent to push transactions through. By calling `get_gas_prices` through this MCP connection, the crew makes informed decisions based on Blocknative's predictive mempool calculations rather than historical data.

Hierarchical validation of Ethereum gas costs

Set up a manager agent in CrewAI to oversee junior agents executing trades. The manager calls the Blocknative tool to verify if the proposed gas limit is reasonable. If the junior agent tries to submit a trade with inflated fees, the manager blocks it based on the latest `get_gas_prices` report.

Setup guide

Set up Blocknative (Ethereum Mempool API) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Blocknative (Ethereum Mempool API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Blocknative (Ethereum Mempool API) Analyst",
    goal="Access and analyze Blocknative (Ethereum Mempool API) data via MCP.",
    backstory="Expert analyst with direct Blocknative (Ethereum Mempool API) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Blocknative (Ethereum Mempool API) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Blocknative (Ethereum Mempool API) Analyst",
        goal="Access and analyze Blocknative (Ethereum Mempool API) data via MCP.",
        backstory="Expert analyst with direct Blocknative (Ethereum Mempool API) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Blocknative (Ethereum Mempool API) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Blocknative. 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 Blocknative (Ethereum Mempool API) MCP in CrewAI

Pass the Vinkius MCP URL directly into the agent's `mcps` parameter list. CrewAI automatically handles the tool discovery and setup.

Yes. CrewAI's shared memory allows the analyst agent to fetch gas prices and pass that context to execution agents in the crew.

Absolutely. A manager agent can query gas prices via this MCP Server to validate tasks assigned to subordinate agents before they execute on-chain.

CrewAI supports stdio, SSE, and HTTP. For the Vinkius managed version, use the HTTP endpoint provided in your dashboard.

No. The tool only reads current gas price suggestions from Blocknative. No transaction data or payload details are sent or stored.

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