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How to Use the Celoscan (Celo Network Explorer) MCP in LangChain

Feed live Celo blockchain data directly into your LangChain reasoning loops.

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LangChain

Connect Celoscan (Celo Network Explorer) MCP to LangChain

Create your Vinkius account to connect Celoscan (Celo Network Explorer) 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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Multi-Step Chain Verification with this MCP Server

This MCP Server lets your agent pull transaction statuses and contract ABIs directly into your active runs. Your agent can grab a transaction hash, check its state with `get_transaction_receipt_status`, and decide whether to halt the chain or keep going. When it encounters a smart contract, it pulls the ABI via `get_contract_abi` to format the next transaction payload. No more hardcoding schemas—the chain adapts dynamically on the fly.

Automated Token Audits in LangChain

You can chain together balance checks and transfer histories to build deep audit logs. The agent triggers `get_erc20_transfers` to fetch history, then dumps that array straight into a summarization chain. It can instantly cross-reference those transfers with `get_account_balance_multi` to verify current holdings across multiple suspect wallets. You get a transparent reasoning trace in LangSmith for every single step.

Live Celo Market and Network Monitoring

Keep your chains grounded in real-time gas economics and price action. Your agent polls `get_last_celo_price` and `get_block_countdown` to calculate optimal execution windows for transaction batches. By routing these outputs directly to your decision-making prompts, you avoid stale gas assumptions. LangChain manages the state while the MCP Server feeds the fresh blockchain facts.

Setup guide

Set up Celoscan (Celo Network Explorer) 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 Celoscan (Celo Network Explorer) 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({
    "celoscan-celo-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 Celoscan (Celo Network Explorer) 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 Celoscan. 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 Celoscan (Celo Network Explorer) MCP in LangChain

You load the server tools into a LangChain agent using the MCP adapter. The agent calls tools like `get_account_balance` dynamically during its reasoning loops to fetch live chain data.
Yes. Every time your LangChain agent invokes `get_contract_source_code` or any other tool, LangSmith logs the inputs, outputs, and latency.
Yes, it supports both single and multi-address queries. Your agent can call `get_account_balance_multi` to check multiple Celo addresses in a single chain step.
Yes, it can. The agent calls `get_transaction_execution_status` to see if a contract execution failed and then branches its logic based on that result.
This server only queries public blockchain data from Celoscan using your provided API key. No private keys or sensitive wallet credentials ever leave your local setup.

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