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

Run type-safe Ethereum operations in Pydantic AI using the Infura (Ethereum Node RPC Provider) MCP Server.

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Connect Infura (Ethereum Node RPC Provider) MCP to Pydantic AI

Create your Vinkius account to connect Infura (Ethereum Node RPC Provider) to Pydantic AI 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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Type-Safe Blockchain Reads

This Infura MCP Server provides 20 Ethereum RPC tools that integrate with Pydantic AI's runtime validation. Every response from `eth_getBalance` or `eth_chainId` is strictly validated before your agent processes it. If the node returns unexpected data, the framework raises a validation error immediately. This prevents your agent from executing logic based on corrupted block numbers from `eth_blockNumber`.

Safe Transaction Preparation and Gas Estimation

The Infura MCP Server lets your Pydantic AI agent estimate gas costs and build transactions with strict type safety. The agent calls `eth_estimateGas` and `get_suggested_gas_fees` to model transaction parameters. Because the outputs are validated against strict Python models, you avoid type mismatches when passing parameters to `eth_sendRawTransaction`. This guarantees your transaction payloads are structurally valid before hitting the network.

Reliable Event Monitoring and Log Analysis

This Infura MCP Server delivers structured event logs directly to your Pydantic AI validation pipelines. Your agent queries historical events via `eth_getLogs` or tracks live updates using `eth_getFilterChanges`. The raw log outputs are parsed into typed Python objects. This allows your agent to reliably extract contract events without manual dictionary indexing or risk of silent runtime crashes.

Setup guide

Set up Infura (Ethereum Node RPC Provider) MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "infura-ethereum-node-rpc-provider-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Infura (Ethereum Node RPC Provider) tools.",
)

result = await agent.run("List recent Infura (Ethereum Node RPC Provider) transactions")
print(result.output)

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Common questions about Infura (Ethereum Node RPC Provider) MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and use the `MCPToolset` class pointing to the Vinkius HTTP URL. Pass this toolset directly into your Agent's `toolsets` argument.
The framework wraps each tool response in a Pydantic model. If a tool like `eth_getTransactionReceipt` returns unexpected fields, the agent catches the validation error at runtime.
Yes, the agent can call `eth_getCode` to fetch contract bytecode. This enables runtime verification of smart contracts before interacting with them.
The toolset handles async execution natively over HTTP or SSE. Your agent can run multiple queries like `eth_getBalance` and `eth_getTransactionCount` concurrently.
This server processes transaction payloads, wallet balances, and contract addresses. Vinkius runs the server inside a zero-trust, ephemeral V8 sandbox, ensuring your private RPC credentials are never exposed to the LLM.

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