How to Use the Cronoscan (Cronos Block Explorer) MCP in Pydantic AI

Q: What happens if the Cronoscan (Cronos Block Explorer) API returns an unexpected value when I'm using Pydantic AI?

Your code will raise a ValidationError immediately. This is the main benefit of using Pydantic AI: it prevents your agent from working with malformed or unexpected data, which is critical for building reliable applications.

Get type-safe Cronos blockchain data in your Python app with Pydantic AI. Every response is validated, so your agent never works with bad data.

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Connect Cronoscan (Cronos Block Explorer) MCP to Pydantic AI

Create your Vinkius account to connect Cronoscan (Cronos Block Explorer) 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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Setup Cronoscan (Cronos Block Explorer) with Pydantic AI

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Get Validated On-Chain Data

This toolset brings Pydantic's runtime validation to Cronos blockchain data. When your agent calls `get_balance` or `get_token_balance`, the response is automatically parsed against a Pydantic model. If the API ever returns something weird, your code raises a `ValidationError` immediately. This means no silent data corruption. You can build financial tools knowing that data from `get_eth_price` or `get_tx_receipt_status` is always correctly structured. Your agent won't hallucinate fields or misinterpret on-chain state because Pydantic AI is enforcing the schema.

Inspect Contracts with Confidence

Safely inspect smart contracts on Cronos. Use `get_source_code` and `get_abi` to get contract details, with Pydantic AI making sure the output matches the exact format you expect. It's built for applications that have to be correct. You can also use the proxy tools like `proxy_eth_get_block_by_number` or `proxy_eth_get_transaction_by_hash`. Pydantic AI's type-hinted approach means your IDE knows the structure of the data coming back from the Cronos chain, which makes building and debugging your agent's logic much faster.

A Type-Safe Cronos MCP Server

Connect any LLM to the Cronos blockchain with guaranteed data structures. This MCP Server exposes 24 different tools, from fetching transaction lists with `get_tx_list` to checking ERC721 transfers with `get_token_nft_tx`. Pydantic AI validates every single response. It's a simple setup. Just instantiate the `MCPToolset` with the Vinkius URL for this MCP Server and pass it to your agent. There's no need to write individual Pydantic models for each tool's output; the validation happens automatically based on the server's OpenAPI spec.

Setup guide

Set up Cronoscan (Cronos Block Explorer) 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 deprecated MCPServerHTTP class with full protocol support.
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

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": {
        "cronoscan-cronos-block-explorer-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Cronoscan (Cronos Block Explorer) transactions")
print(result.output)

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Common questions about Cronoscan (Cronos Block Explorer) MCP in Pydantic AI

Pydantic AI automatically creates validators from the server's published schema. Every time your agent calls a tool, the response from the Cronoscan (Cronos Block Explorer) MCP Server is checked against these validators. If there's a mismatch, it fails with an error instead of passing bad data to your agent.

Yes. Pydantic AI is model-agnostic, so you can connect a local LLM to the Cronoscan (Cronos Block Explorer) MCP Server just as easily as a commercial one. The tool-calling and validation work the same regardless of the model you choose.

Your code will raise a `ValidationError` immediately. This is the main benefit of using Pydantic AI: it prevents your agent from working with malformed or unexpected data, which is critical for building reliable applications.

No, you don't. The Pydantic AI framework automatically generates validators based on the OpenAPI specification provided by this MCP Server. It's a zero-config setup for type safety.

Your requests only contain public Cronos blockchain data like transaction hashes. Pydantic AI simply structures the connection and doesn't store your data. The Vinkius MCP Server processes these requests in a zero-trust, ephemeral environment, so your query and the resulting data disappear after the job is done.

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