How to Use the Corescan (Core DAO Blockchain Explorer) MCP in Pydantic AI

Ensure type-safe blockchain data for your agents using Pydantic AI and this MCP server.

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Connect Corescan (Core DAO Blockchain Explorer) MCP to Pydantic AI

Create your Vinkius account to connect Corescan (Core DAO Blockchain 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 Corescan (Core DAO Blockchain Explorer) with Pydantic AI

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Perplexity

Validate Core DAO data with Pydantic AI

Every response from `get_logs` or `get_internal_transactions` is checked against strict models. If the data looks wrong, the agent stops before it acts. This prevents your agent from making decisions based on malformed blockchain output. Pydantic AI ensures the data matches your expected schema.

Type-safe smart contract inspection

Retrieve contract details using `get_contract_abi`. Pydantic AI validates the structure of the returned ABI to ensure it's usable for your agent's logic. You avoid silent failures that often happen with messy API responses. The agent acts only when it has valid, typed data in hand.

Check transaction execution status

Use `get_tx_status` to verify if a contract call executed as intended. Pydantic AI confirms the result matches your success criteria. Your agent gains a reliable way to verify outcomes. It makes your Pydantic AI workflows more predictable by validating every status report.

Setup guide

Set up Corescan (Core DAO Blockchain 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": {
        "corescan-core-dao-blockchain-explorer-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Corescan (Core DAO Blockchain Explorer) tools.",
)

result = await agent.run("List recent Corescan (Core DAO Blockchain Explorer) transactions")
print(result.output)

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Common questions about Corescan (Core DAO Blockchain Explorer) MCP in Pydantic AI

The framework automatically validates data against your defined models. You get runtime errors if the blockchain data deviates from your expectations.

Yes, just use the MCPToolset class. It provides a unified way to connect your server to the agent logic.

It does. Whether you use OpenAI or local models, the server provides the same validated data through the MCP standard.

No, you connect to your managed Vinkius endpoint. The SDK handles the communication while your agent handles the logic.

Your agent only fetches non-sensitive, public blockchain information. No user-specific or private data is ever shared with the server.

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