How to Use the Zerion (DeFi Portfolio) MCP in LlamaIndex

Ground DeFi knowledge with LlamaIndex and Zerion (DeFi Portfolio)

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Connect Zerion (DeFi Portfolio) MCP to LlamaIndex

Create your Vinkius account to connect Zerion (DeFi Portfolio) 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 Zerion (DeFi Portfolio) with LlamaIndex

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Indexing DeFi Data with MCP Server

When you run `get_wallet_transactions` or `get_wallet_positions`, the results aren't just returned—they become searchable knowledge. LlamaIndex indexes this output into a vector store. Instead of losing context, that data becomes part of your application’s memory. You can query past API calls or configuration details and get answers grounded in actual asset data. This means you can ask things like, 'What was the average gas price for my Ethereum swaps last quarter?' and get an answer derived from indexed `get_swap_quotes` results.

Querying NFT Metadata with LlamaIndex

The `get_nft` tool lets you look up specific NFTs by their reference. By indexing this metadata, your RAG application can answer highly specific questions about digital assets. You're not just getting a JSON blob; you’re building knowledge around that asset. This is huge for compliance or auditing. If you need to know the characteristics of a collection held across multiple wallets, LlamaIndex turns the raw data from `get_wallet_nft_collections` into searchable facts.

Creating Portfolio Knowledge Bases with MCP Server

You can use `get_wallet_portfolio` to get a total value summary for any wallet. LlamaIndex ingests this numerical data and the underlying asset types (`list_dapps`). This allows you to build a knowledge base that understands financial relationships. Combining data from multiple sources, like comparing portfolio values with real-time gas estimates via `list_gas_prices`, creates a powerful index. It makes complex comparisons simple to query.

Setup guide

Set up Zerion (DeFi Portfolio) 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 Zerion (DeFi Portfolio) 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 Zerion (DeFi Portfolio) tools.",
)
response = await agent.run("List recent Zerion (DeFi Portfolio) data")

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Common questions about Zerion (DeFi Portfolio) MCP in LlamaIndex

LlamaIndex treats the MCP Server output as source documents for a knowledge index. You run a tool, and its result gets indexed alongside your company documents, allowing you to search API data semantically.

You build RAG applications. For instance, index all historical transaction records from `get_wallet_transactions` and then query them weeks later to understand a pattern that emerged.

Yes. You can combine live API calls—like getting total value (`get_wallet_portfolio`)—with indexed historical data to give users a comprehensive, queryable view.

You can answer questions about PnL. By indexing the output of `get_wallet_pnl`, you can ask, 'Why did my unrealized gain drop last month?' and get an answer grounded in your historical data.

The server touches transaction history. You control the scope of indexing, ensuring that only anonymized or authorized wallet positions are added to your searchable knowledge base.

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