Alchemy MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Alchemy 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
Vinkius supports streamable HTTP and SSE.
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({
"alchemy": {
"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 Alchemy, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Alchemy MCP Server
Empower your AI agent to orchestrate your entire web3 research and blockchain auditing workflow with Alchemy, the comprehensive platform for decentralized data. By connecting Alchemy to your agent, you transform complex RPC querying into a natural conversation. Your agent can instantly retrieve wallet balances, audit NFT ownership, and query transaction receipts without you ever touching a block explorer. Whether you are conducting investment research or monitoring digital assets, your agent acts as a real-time blockchain analyst, ensuring your data is always precise and up-to-the-minute.
LangChain's ecosystem of 500+ components combines seamlessly with Alchemy through native MCP adapters. Connect 6 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
- Wallet Auditing — Retrieve high-resolution balances for any Ethereum or compatible address, including native and ERC-20 tokens.
- NFT Oversight — Audit the NFT collection for specific owners to maintain a clear view of digital asset distribution and metadata.
- Transaction Intelligence — Query real-time transaction receipts to understand the status and outcome of blockchain events instantly.
- Network Discovery — Retrieve the latest block numbers to assist in regional and temporal blockchain planning.
- Operational Monitoring — Check API status to ensure your web3 research workflow is always operational across supported networks.
The Alchemy MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Alchemy to LangChain via MCP
Follow these steps to integrate the Alchemy MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from Alchemy via MCP
Why Use LangChain with the Alchemy MCP Server
LangChain provides unique advantages when paired with Alchemy through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Alchemy MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Alchemy queries for multi-turn workflows
Alchemy + LangChain Use Cases
Practical scenarios where LangChain combined with the Alchemy MCP Server delivers measurable value.
RAG with live data: combine Alchemy tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Alchemy, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Alchemy tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Alchemy tool call, measure latency, and optimize your agent's performance
Alchemy MCP Tools for LangChain (6)
These 6 tools become available when you connect Alchemy to LangChain via MCP:
check_api_status
Check if the Alchemy service is operational
get_latest_block_number
Get the number of the most recent block
get_owned_nfts
Get all NFTs owned by a specific address
get_token_balances
Get all ERC-20 token balances for a specific address
get_transaction_receipt
Get the receipt of a transaction by hash
get_wallet_balance
Get the balance of an Ethereum address in wei
Example Prompts for Alchemy in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Alchemy immediately.
"What is the balance of Ethereum address '0x123...' using Alchemy?"
"Show all NFTs owned by '0x456...'."
"What is the latest block number on 'eth-mainnet'?"
Troubleshooting Alchemy MCP Server with LangChain
Common issues when connecting Alchemy to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAlchemy + LangChain FAQ
Common questions about integrating Alchemy MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Alchemy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Alchemy to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.