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How to Use the Aptoscan (Aptos Blockchain Explorer API) MCP in LangChain

Build multi-step blockchain reasoning chains for LangChain by querying Aptoscan (Aptos Blockchain Explorer API) directly.

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LangChain

Connect Aptoscan (Aptos Blockchain Explorer API) MCP to LangChain

Create your Vinkius account to connect Aptoscan (Aptos Blockchain Explorer API) to LangChain 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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Chain Aptos blockchain data in LangChain

Feed your agent real-time blockchain state by linking `get_account_balance` or `get_account_modules` into your logic flow. The output of one call feeds directly into the next step of your chain. You avoid manual parsing. LangChain handles the pipeline while your agent decides when to pull transaction history using `get_account_transactions`.

Trace your LangChain MCP Server requests

Monitor every interaction with this MCP Server through LangSmith. You see exactly how `get_token_data` inputs influence your agent's final reasoning. Latency and token usage appear in your traces. This visibility keeps your complex multi-agent workflows predictable and debuggable.

Manage stateful Aptoscan sessions

Use `client.session()` to keep your context persistent across multiple calls. Your LangChain agent remembers past `get_block_by_height` results for subsequent reasoning. Context stays active throughout your chain execution. This approach ensures your agent maintains a clear view of the ledger state as it builds its analysis.

Setup guide

Set up Aptoscan (Aptos Blockchain Explorer API) MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Aptoscan (Aptos Blockchain Explorer API) tool calls through the MCP protocol.

  4. 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({
    "aptoscan-aptos-blockchain-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 Aptoscan (Aptos Blockchain Explorer API) transactions"
    })
    print(result["messages"][-1].content)

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

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Common questions about Aptoscan (Aptos Blockchain Explorer API) MCP in LangChain

Install the MCP adapters and point your client to our HTTP endpoint. You pass the tools directly into the agent constructor to enable blockchain access.
Yes. The agent uses the tools in your defined order to pull data, evaluate it, and move to the next logical step.
It pulls live data directly from the chain. You get the actual state of the ledger without any intermediate caching or stale records.
Exceptions bubble up to your agent. You can configure your LangGraph nodes to catch these failures and trigger a retry or fallback logic.
No. This server only provides read-only access to public blockchain data like account balances and token metadata. It never touches your private keys or sensitive credentials.

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