How to Use the Infura (Ethereum Node RPC Provider) MCP in CrewAI

Q: Can a CrewAI agent estimate gas before sending a transaction through Infura (Ethereum Node RPC Provider)?

Yes, the analyst agent can run ethestimateGas and getsuggestedgasfees to calculate transaction costs.

Q: Can I filter the tools available to specific agents in the crew?

Yes, you can use the MCPServerHTTP class to limit tools, ensuring only your execution agent can run ethsendRawTransaction.

Deploy a crew of specialized agents with CrewAI to monitor gas and automate Ethereum transactions autonomously.

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Connect Infura (Ethereum Node RPC Provider) MCP to CrewAI

Create your Vinkius account to connect Infura (Ethereum Node RPC Provider) 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 Infura (Ethereum Node RPC Provider) with CrewAI

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Coordinate specialized agents using this MCP Server

The `eth_blockNumber` tool serves as the heartbeat for your multi-agent monitoring system. A specialized tracker agent polls this method, sharing the latest block height with a gas analyst agent in the crew. Our gas analyst then runs `eth_gasPrice` and `eth_feeHistory` to map fee trends over the last several blocks. This shared context allows the crew to decide the optimal moment for executing transactions.

Manage treasury balances across different agents

The `eth_getBalance` tool checks the native balance of any address on the network. When an execution agent notices a balance drop below a specific threshold, it triggers a replenishment workflow. Your agent uses `eth_getTransactionCount` to determine the correct nonce before crafting a transfer. Once signed, another agent broadcasts it using `eth_sendRawTransaction` to keep the treasury funded.

Audit deployed code using specialized CrewAI agents

The `eth_getCode` tool fetches the raw bytecode from any address on the chain. An auditor agent analyzes this code to confirm if a contract is actually deployed at the target destination. This auditor coordinates with a verification agent running `eth_call` to run test queries against the contract. Doing so prevents your autonomous crew from interacting with uninitialized or malicious addresses.

Setup guide

Set up Infura (Ethereum Node RPC Provider) 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 Infura (Ethereum Node RPC Provider) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Infura (Ethereum Node RPC Provider) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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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="Infura (Ethereum Node RPC Provider) Analyst",
        goal="Access and analyze Infura (Ethereum Node RPC Provider) data via MCP.",
        backstory="Expert analyst with direct Infura (Ethereum Node RPC Provider) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Infura (Ethereum Node RPC Provider) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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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 Infura. 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 Infura (Ethereum Node RPC Provider) MCP in CrewAI

You pass the HTTP endpoint directly to the agent's MCP array during initialization.

Yes, the analyst agent can run `eth_estimateGas` and `get_suggested_gas_fees` to calculate transaction costs.

The server handles concurrent requests through Vinkius's scalable infrastructure, preventing bottlenecks when multiple agents query the node.

Yes, you can use the `MCPServerHTTP` class to limit tools, ensuring only your execution agent can run `eth_sendRawTransaction`.

Vinkius isolates all RPC requests within an ephemeral V8 sandbox. No query history, block data, or transaction parameters are saved or stored.

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