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Blockdaemon (Blockchain Infrastructure) MCP Server for LangChainGive LangChain instant access to 4 tools to Get Financial Report, Get Utxos, List Blocks, and more

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LangChain is the leading Python framework for composable LLM applications. Connect Blockdaemon (Blockchain Infrastructure) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Blockdaemon (Blockchain Infrastructure) MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "blockdaemon-blockchain-infrastructure": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Blockdaemon (Blockchain Infrastructure), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Blockdaemon (Blockchain Infrastructure)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Blockdaemon (Blockchain Infrastructure) MCP Server

Connect your Blockdaemon account to any AI agent to interact with major blockchain protocols through a single, unified interface. This MCP server leverages the Ubiquity API to provide seamless access to multi-chain data.

LangChain's ecosystem of 500+ components combines seamlessly with Blockdaemon (Blockchain Infrastructure) through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Block Exploration — Retrieve block identifiers and metadata for protocols like Bitcoin, Ethereum, Solana, and Polkadot using list_blocks.
  • Transaction Tracking — Query full transaction histories for specific account addresses across supported networks with list_transactions.
  • UTXO Management — Fetch Unspent Transaction Outputs for UTXO-based chains (Bitcoin, Dogecoin, Litecoin) using get_utxos.
  • Financial Reporting — Generate detailed financial reports for addresses on protocols like Algorand, Stellar, and Tezos via get_financial_report.
  • Multi-Network Support — Switch between mainnet and testnet environments effortlessly for development and auditing.

The Blockdaemon (Blockchain Infrastructure) MCP Server exposes 4 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Blockdaemon (Blockchain Infrastructure) tools available for LangChain

When LangChain connects to Blockdaemon (Blockchain Infrastructure) through Vinkius, your AI agent gets direct access to every tool listed below — spanning web3, bitcoin, ethereum, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get financial report on Blockdaemon (Blockchain Infrastructure)

Get a financial report for an address

get

Get utxos on Blockdaemon (Blockchain Infrastructure)

Get Unspent Transaction Outputs (UTXOs)

list

List blocks on Blockdaemon (Blockchain Infrastructure)

Get a list of block identifiers

list

List transactions on Blockdaemon (Blockchain Infrastructure)

Get a list of transactions for an address

Connect Blockdaemon (Blockchain Infrastructure) to LangChain via MCP

Follow these steps to wire Blockdaemon (Blockchain Infrastructure) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 4 tools from Blockdaemon (Blockchain Infrastructure) via MCP

Why Use LangChain with the Blockdaemon (Blockchain Infrastructure) MCP Server

LangChain provides unique advantages when paired with Blockdaemon (Blockchain Infrastructure) through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Blockdaemon (Blockchain Infrastructure) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Blockdaemon (Blockchain Infrastructure) queries for multi-turn workflows

Blockdaemon (Blockchain Infrastructure) + LangChain Use Cases

Practical scenarios where LangChain combined with the Blockdaemon (Blockchain Infrastructure) MCP Server delivers measurable value.

01

RAG with live data: combine Blockdaemon (Blockchain Infrastructure) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Blockdaemon (Blockchain Infrastructure), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Blockdaemon (Blockchain Infrastructure) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Blockdaemon (Blockchain Infrastructure) tool call, measure latency, and optimize your agent's performance

Example Prompts for Blockdaemon (Blockchain Infrastructure) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Blockdaemon (Blockchain Infrastructure) immediately.

01

"List the most recent blocks on Ethereum mainnet."

02

"Show me the transaction history for Bitcoin address 1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa."

03

"Get a financial report for Algorand address [ADDRESS] on mainnet."

Troubleshooting Blockdaemon (Blockchain Infrastructure) MCP Server with LangChain

Common issues when connecting Blockdaemon (Blockchain Infrastructure) to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Blockdaemon (Blockchain Infrastructure) + LangChain FAQ

Common questions about integrating Blockdaemon (Blockchain Infrastructure) MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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