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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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) 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 Pydantic AI
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