How to Use the BscScan (BNB Chain Explorer) MCP in Pydantic AI

Q: Can BscScan (BNB Chain Explorer) be used in Pydantic AI for block numbers?

Yes, the getethblocknumber tool returns the current block, which you can easily validate against an integer model in your agent.

Validate BNB Chain data with Pydantic AI and type-safe MCP tools.

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Connect BscScan (BNB Chain Explorer) MCP to Pydantic AI

Create your Vinkius account to connect BscScan (BNB Chain 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 BscScan (BNB Chain Explorer) with Pydantic AI

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Perplexity

Type-safe token data for Pydantic AI

Use `get_bep20_transfers` to fetch data that your agent validates against Pydantic models. If the chain returns malformed data, your agent catches it immediately. This prevents silent errors in your data processing. You get the strict type enforcement you expect from a production-grade framework.

Query transaction receipts in Pydantic AI

Run `get_transaction_receipt_status` to fetch receipt data that matches your required schema. Your agent ensures the output is valid before it processes the transaction outcome. This approach eliminates hallucinated fields and runtime crashes. Your code remains clean and predictable even when dealing with complex chain responses.

Get supply metrics for Pydantic AI

Fetch the total BNB supply with `get_bsc_supply` and map it to your internal Pydantic models. Your agent uses these figures for accurate financial calculations. Reliability is the priority here. You define the shape of the data, and the agent enforces that shape on every response.

Setup guide

Set up BscScan (BNB Chain 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": {
        "bscscan-bnb-chain-explorer-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent BscScan (BNB Chain Explorer) transactions")
print(result.output)

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Common questions about BscScan (BNB Chain Explorer) MCP in Pydantic AI

Install the MCP toolset package and add it to your agent's toolsets list. The framework will automatically handle the validation of all incoming tool responses.

It does, because the type-safe nature of the framework complements the structured data provided by the server. Your agent fails explicitly if the data doesn't match your models.

Yes, the `get_eth_block_number` tool returns the current block, which you can easily validate against an integer model in your agent.

We use a zero-trust architecture. Your server connection is isolated, and no data is cached or stored outside of your active session.

It only touches public blockchain information like balances, transaction histories, and contract source code. It does not access any of your private data or environment variables.

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