How to Use the Blockdaemon (Blockchain Infrastructure) MCP in LangChain

Chain Blockdaemon (Blockchain Infrastructure) data directly into your LangChain agent pipelines for automated multi-step reasoning.

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Connect Blockdaemon (Blockchain Infrastructure) MCP to LangChain

Create your Vinkius account to connect Blockdaemon (Blockchain Infrastructure) 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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Setup Blockdaemon (Blockchain Infrastructure) with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build reasoning chains with Blockdaemon (Blockchain Infrastructure) MCP Server

Your LangChain agents trigger `list_transactions` to fetch address activity. The agent evaluates the output, deciding if it needs to pull more data or stop execution. Every tool call maps to a LangSmith trace. You see exactly how the agent navigated the chain of data requests.

Automate UTXO analysis in LangGraph

Feed `get_utxos` into a stateful graph node. The agent tracks input values across multiple addresses to build a clear picture of balance distribution. This setup allows you to pass data between nodes. Your agent handles complex logic without human intervention.

Trace financial reporting pipelines

Invoke `get_financial_report` as part of a long-running chain. The agent parses the returned structure to summarize asset holdings. Connect this MCP Server to external vector stores within the same workflow. Your agent combines live blockchain data with static documents to justify its final answer.

Setup guide

Set up Blockdaemon (Blockchain Infrastructure) 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 Blockdaemon (Blockchain Infrastructure) 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({
    "blockdaemon-blockchain-infrastructure-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 Blockdaemon (Blockchain Infrastructure) transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Blockdaemon (Blockchain Infrastructure) MCP in LangChain

Install the necessary adapters and initialize the MultiServerMCPClient. Point the client to your server URL to expose the tools to your agent.

Yes. The tools provide raw, institutional-grade data that integrates into any production LangGraph pipeline.

Absolutely. You can chain multiple tool calls so the agent refines its findings based on the results of previous actions.

Outputs are passed as strings or objects directly back into the LLM context. You can then use them as inputs for subsequent agent steps.

We handle your auth tokens via secure environment variables. All requests for financial reports or transaction lists occur over encrypted channels.

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

Mastra AI sdk-typescript

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