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

Q: How do I query token transfers using Zetachain Explorer (ZetaChain Block Explorer API) with Pydantic AI?

Your agent uses gettokentransfers. It returns a type-safe list of movements, which your Python code can process reliably without worrying about malformed fields.

Q: Can I use Zetachain Explorer (ZetaChain Block Explorer API) with Pydantic AI to get contract ABIs?

Yes. The getsmartcontract tool gives you the necessary details and ABI structure for any smart contract address, ensuring your models understand its functions.

Q: What if I need Zetachain Explorer (ZetaChain Block Explorer API) with Pydantic AI to list blocks?

The agent calls listblocks and receives a validated stream of recent block data. This makes building reliable, iterative pipelines much easier.

Q: How do I check all transactions for an address using Zetachain Explorer (ZetaChain Block Explorer API) with Pydantic AI?

Use getaddresstransactions. Your agent pulls the history, and because of Pydantic validation, you're guaranteed that every field in the returned data is correct.

Build type-safe blockchain agents. The Zetachain Explorer (ZetaChain Block Explorer API) for Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Zetachain Explorer (ZetaChain Block Explorer API) MCP to Pydantic AI

Create your Vinkius account to connect Zetachain Explorer (ZetaChain 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.

GDPR Free for Subscribers

Setup Zetachain Explorer (ZetaChain Block Explorer API) with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get full transaction histories.

When building production code, you need reliability. This MCP Server lets your agent pull address activity using `get_address_transactions`. The data is validated against Pydantic models before your script touches it. It’s useful for seeing the complete picture of an account's movements over time, pulling every relevant hash and timestamp into a clean object.

Map out token holdings and ownership.

The agent uses `get_address_token_balances` to get exact counts for all tokens owned by an address. This is safer than relying on raw data. If you need a broader view, `list_tokens` gives you the master list of available assets, and `get_token_holders` lets your script verify who owns them.

Analyze block contents in detail.

Need to inspect an entire time slice? Use `get_block` to pull all details about a specific block. Then, check the activity inside with `get_block_transactions`. This provides a single, validated data structure for batch processing. For even deeper inspection, your script can use `get_transaction_internal` on any hash to map out secondary contract calls.

Setup guide

Set up Zetachain Explorer (ZetaChain 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 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": {
        "zetachain-explorer-zetachain-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 Zetachain Explorer (ZetaChain Block Explorer API) tools.",
)

result = await agent.run("List recent Zetachain Explorer (ZetaChain Block Explorer API) transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ZetaChain Explorer. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Zetachain Explorer (ZetaChain Block Explorer API) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Zetachain Explorer (ZetaChain Block Explorer API) MCP in Pydantic AI

Your agent uses `get_token_transfers`. It returns a type-safe list of movements, which your Python code can process reliably without worrying about malformed fields.

Yes. The `get_smart_contract` tool gives you the necessary details and ABI structure for any smart contract address, ensuring your models understand its functions.

The agent calls `list_blocks` and receives a validated stream of recent block data. This makes building reliable, iterative pipelines much easier.

This MCP Server touches public blockchain records, specifically transaction hashes and block data. All retrieved data is non-private public ledger information.

Use `get_address_transactions`. Your agent pulls the history, and because of Pydantic validation, you're guaranteed that every field in the returned data is correct.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript