How to Use the Helius (Solana) MCP in LlamaIndex

Index live Solana data into your LlamaIndex knowledge base to ground your AI in real network state.

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Connect Helius (Solana) MCP to LlamaIndex

Create your Vinkius account to connect Helius (Solana) to LlamaIndex 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 LlamaIndex

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Semantic indexing with LlamaIndex

Push live chain data through `get_asset` and `get_wallet_history` into your vector stores. This grounds your AI in current portfolio reality rather than static training sets. Your agent queries this indexed data to answer questions about past activity. It connects the dots between raw history and your specific knowledge base.

Asset discovery for LlamaIndex

Run `get_assets_by_owner` or `search_assets` to populate your index with current holdings. This keeps your RAG application synchronized with the actual state of any Solana wallet. This workflow ensures your agent has the latest asset list before it generates a summary. It turns API results into searchable, context-aware information.

Wallet identity resolution for LlamaIndex

Resolve domains and addresses using `get_wallet_identity` to make your retrieved data human-readable. Your agent uses these labels to build a clearer map of participant activity. This makes your search results easier to parse. Instead of raw strings, your index contains meaningful entity names mapped to specific wallet behaviors.

Setup guide

Set up Helius (Solana) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Helius (Solana) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Helius (Solana) tools.",
)
response = await agent.run("List recent Helius (Solana) data")

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Common questions about Helius (Solana) MCP in LlamaIndex

You wrap the MCP tools in a specification and add them to your agent. This allows LlamaIndex to query Helius (Solana) and store the results in your preferred vector database.

Yes, you can configure your agent to fetch updates periodically. This keeps your LlamaIndex documents current with the latest chain state.

It is. Once indexed, your agent treats the retrieved chain data as part of its internal knowledge, allowing for natural language queries about your transactions.

You provide your endpoint token during client initialization. Vinkius handles the rest of the security layer for you.

The server accesses public chain data including token balances, NFT metadata, and transaction logs. It does not touch your private keys or sensitive signing material.

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