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How to Use the IoTeX (IoTeX Block Explorer API) MCP in Pydantic AI

Guarantee type-safe IoTeX blockchain queries with Pydantic AI runtime validation.

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Pydantic AI

Connect IoTeX (IoTeX Block Explorer API) MCP to Pydantic AI

Create your Vinkius account to connect IoTeX (IoTeX Block Explorer API) 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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Enforce type safety on IoTeX account data

The `get_account` tool fetches wallet details that Pydantic AI immediately validates against strict runtime schemas. If the API returns unexpected formats, your agent fails immediately instead of processing corrupted state data. This MCP Server integration prevents silent failures when tracking balances or transaction counts. Your Python code remains clean because the framework handles the serialization and validation of the blockchain payloads.

Parse transaction histories with strict schema validation

The `get_account_actions` tool retrieves transaction lists that are parsed directly into your custom Pydantic models. This ensures every transaction hash, timestamp, and gas fee matches your application's expected types. By using `get_recent_actions`, your agent monitors live network activity with the same strict validation rules. You catch breaking contract changes the moment they hit the chain.

Extract verified metadata with this MCP Server

The `get_token` tool extracts token details that your Pydantic AI agent validates before executing any token-swap logic. This prevents your model from hallucinating token decimals or total supply figures during execution. When querying `get_block_by_height` or `get_block_by_hash`, the returned block structures are validated at the network boundary. Your agent always works with clean, verified blockchain blocks.

Setup guide

Set up IoTeX (IoTeX Block Explorer API) 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": {
        "iotex-iotex-block-explorer-api-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to IoTeX (IoTeX Block Explorer API) tools.",
)

result = await agent.run("List recent IoTeX (IoTeX Block Explorer API) 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 IoTeX. 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 IoTeX (IoTeX Block Explorer API) MCP in Pydantic AI

Initialize the `MCPToolset` with your Vinkius HTTP endpoint and pass it to your Pydantic AI `Agent` constructor. This exposes all eight tools, including `get_account` and `get_action`, to your agent.
If an endpoint like `get_account_actions` returns unexpected data, Pydantic AI raises a validation error. This stops your agent from executing further, protecting your application from processing bad blockchain data.
Yes, Pydantic AI is model-agnostic, meaning you can use these IoTeX tools with local models or commercial APIs. The MCP Server handles the connection to the blockchain, while your agent coordinates the logic.
Your agent can call `get_token_holders` to fetch the distribution list for any contract on the network. The framework validates the list structure, ensuring your agent only processes well-formed address and balance pairs.
Your IoTeX wallet addresses, block heights, and transaction hashes are transmitted over secure, encrypted channels. Vinkius isolates each session in a zero-trust environment, ensuring your query parameters are never exposed or logged.

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