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

Q: How do I query historical data with Zetachain Explorer (ZetaChain Block Explorer API) using LangChain?

You build a multi-step chain. First, your agent calls listblocks to pinpoint the time range you need. Then, it uses getblock and subsequent tools like gettransaction to pull all the specific data points for that era.

Q: Can I find internal contract logic with Zetachain Explorer (ZetaChain Block Explorer API) using LangChain?

Absolutely. If you have a transaction hash, pass it to gettransactioninternal. This tool exposes the specific contract calls that triggered within that larger transaction payload. It's key for auditing smart contracts.

Q: Does Zetachain Explorer (ZetaChain Block Explorer API) support listing all available tokens using LangChain?

Yeah, just call the listtokens tool. This gives your agent a full list of assets currently tracked on the ZetaChain network. It's a good starting point before checking balances or transfers.

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Setup Zetachain Explorer (ZetaChain Block Explorer API) with LangChain

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Tracing Multi-Step Blockchain Queries

The agent decides the exact sequence of calls needed for complex data retrieval. You can start by calling `list_transactions` to find relevant hashes, then feed those results into `get_transaction` to pull full details. This allows your AI client to build a working chain: get an address from `get_address`, use that in `get_address_transactions`, and finally check token balances with `get_address_token_balances`. It's all one continuous flow.

Deep Dive into Block Data

Need to know what happened in a specific block? Call `get_block` first, then use the returned hash or number with `get_block_transactions`. This immediately gives you all the activity logged for that period. Beyond just listing transactions, you can isolate contract calls. If you find an interesting transaction, run it through `get_transaction_internal` to see the specific logic executed within a smart contract.

Analyzing Token Movement

Track where money moves on ZetaChain by using token-specific tools. Start with `list_tokens` to find asset symbols, then use `get_token_balances` for an address. This tells you what tokens they own right now. For history, check out the movement trail. Use `get_token_transfers` or look at a specific transaction using `get_transaction_logs` to see exactly when and how those assets changed hands.

Setup guide

Set up Zetachain Explorer (ZetaChain Block Explorer API) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Zetachain Explorer (ZetaChain Block Explorer API) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "zetachain-explorer-zetachain-block-explorer-api-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Zetachain Explorer (ZetaChain Block Explorer API) transactions"
    })
    print(result["messages"][-1].content)

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

You build a multi-step chain. First, your agent calls `list_blocks` to pinpoint the time range you need. Then, it uses `get_block` and subsequent tools like `get_transaction` to pull all the specific data points for that era.

Absolutely. If you have a transaction hash, pass it to `get_transaction_internal`. This tool exposes the specific contract calls that triggered within that larger transaction payload. It's key for auditing smart contracts.

Run a loop in your chain. You can get the list of addresses, and then for each one, call `get_address_token_balances`. The output feeds into your next step, allowing you to compare them logically.

Yeah, just call the `list_tokens` tool. This gives your agent a full list of assets currently tracked on the ZetaChain network. It's a good starting point before checking balances or transfers.

This server primarily handles publicly visible blockchain records, including transaction hashes, wallet addresses, and token transfer logs. It doesn't access private user account credentials.

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