How to Use the IoTeX (IoTeX Block Explorer API) MCP in Pydantic AI
Guarantee type-safe IoTeX blockchain queries with Pydantic AI runtime validation.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
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": {
"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
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