How to Use the Blastscan (Blast Network Explorer) MCP in LangChain

Q: Can my LangChain agent trace Blastscan (Blast Network Explorer) tool calls in LangSmith?

Yes, every tool invocation like getethsupply or getlogs is fully traced. You will see the exact inputs, raw JSON payloads from Blastscan, and the latency of each call directly in your LangSmith console.

Build multi-step LangChain pipelines that query Blast blockchain data and trace every gas estimate or contract read in LangSmith.

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Connect Blastscan (Blast Network Explorer) MCP to LangChain

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Setup Blastscan (Blast Network Explorer) with LangChain

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ChatGPT

Claude

Perplexity

Chain Blast contract reads into LangChain steps

Stop writing manual web3 parser glue code. This MCP server lets your LangChain agents pull verified source code with `get_contract_source_code` and immediately pass it to a code-analysis chain. Your agent inspects the raw logic, extracts state variables, and queries live storage layouts using `proxy_eth_getstorageat` without you writing a single line of Python web3 code. Because each tool call registers as a clean step in your chain, you can feed output directly into the next prompt. The agent can fetch the ABI using `get_contract_abi` first, then immediately execute a dry-run call with `proxy_eth_call` to verify the state of a Blast pool.

Track Blast gas and block times in your agent loops

Let your ReAct agents make smart execution decisions based on real-time network congestion. By putting `proxy_eth_gasprice` and `get_block_countdown` into your agent's toolkit, the chain can decide whether to execute a transaction now or wait for gas to drop. No more hardcoded thresholds that break when the network gets busy. Every single one of these network checks gets logged automatically inside your LangSmith dashboard. You can trace the exact latency of `get_transaction_receipt_status` calls and see how your agent handles pending transactions during high-traffic events on Blast.

Debug Blast ERC20 and NFT histories via LangChain

Finding specific token movements across chains is usually a headache. This MCP server exposes `get_erc20_transfers` and `get_erc721_transfers` as native tools, allowing your LangChain agent to hunt down specific wallet histories. The agent can automatically cross-reference transfer events with `get_ether_balance` to flag suspicious wallet behaviors. You do not need custom API wrappers or complex event parsers for this. The agent handles the raw JSON outputs directly, filtering transfer logs and feeding the structured data into your downstream memory buffers or vector stores.

Setup guide

Set up Blastscan (Blast Network Explorer) 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 Blastscan (Blast Network Explorer) 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({
    "blastscan-blast-network-explorer-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 Blastscan (Blast Network Explorer) transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Blastscan (Blast Network Explorer) MCP in LangChain

Install the langchain-mcp-adapters package and use the MultiServerMCPClient to point to the Blastscan URL. Once connected, pull the tools via client.get_tools() and pass them straight to your LangChain agent constructor.

Yes, every tool invocation like `get_eth_supply` or `get_logs` is fully traced. You will see the exact inputs, raw JSON payloads from Blastscan, and the latency of each call directly in your LangSmith console.

Your LangChain agent can use a ReAct loop to chain tools. For example, it can call `proxy_eth_estimategas` to check costs, then check the wallet balance with `get_ether_balance`, and finally verify execution status using `get_transaction_status`.

Absolutely. You can pass the Blastscan tools alongside database or vector store tools. Your agent can pull contract details with `get_contract_abi` and immediately write those definitions to a local database tool.

All requests for Blast addresses, contract ABIs, and balances run through a secure V8 sandbox on Vinkius. Your private keys are never exposed because the server only reads public blockchain data and estimates gas using read-only JSON-RPC calls.

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