How to Use the Helius (Solana) MCP in LangChain

Chain Solana data directly into your LangChain workflows for multi-step reasoning and automated DeFi analysis.

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Connect Helius (Solana) MCP to LangChain

Create your Vinkius account to connect Helius (Solana) 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 Helius (Solana) with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time Solana data for LangChain agents

Feed live account and asset data into your chains. Your agent executes `get_wallet_balances` to check holdings before triggering a logic step. This setup removes manual data entry. The agent pulls state directly from the chain and uses that output to drive the next link in your sequence.

Automated transaction parsing for LangChain

Convert raw network data into readable formats using `parse_transactions`. This lets your agent interpret complex DeFi interactions without writing custom decoders. Your pipeline gains immediate context. The agent reads the transaction structure, identifies the protocol interaction, and logs the result for your downstream analysis.

Optimized fee estimation for LangChain

Use `get_priority_fee_estimate` to calculate costs before the agent commits a signature. This prevents transaction failures caused by stale fee data. Efficiency matters when building autonomous pipelines. Your agent makes informed decisions about gas settings, ensuring your transactions land on-chain during high-volatility events.

Setup guide

Set up Helius (Solana) 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 Helius (Solana) 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({
    "helius-solana-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 Helius (Solana) transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Helius (Solana) MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. You then pass the server tools into your agent configuration to enable direct access to Helius (Solana) data.

Yes, you can use the fee estimation tool to get current network conditions. This helps your LangChain agent adjust transaction parameters before broadcasting.

Absolutely. You can chain these tools so the output of one call informs the next. This is how you build agents that verify balances before executing swaps.

The server manages your credentials securely at the endpoint. Your agent never sees the raw key, as the Vinkius sandbox handles authentication internally.

Your wallet addresses and transaction history remain isolated within your session. We do not store or index your private query data on our servers.

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