How to Use the DeBank (DeFi Wallet Tracker) MCP in LlamaIndex

Index your DeFi history into LlamaIndex using the DeBank (DeFi Wallet Tracker) MCP Server for grounded answers.

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Connect DeBank (DeFi Wallet Tracker) MCP to LlamaIndex

Create your Vinkius account to connect DeBank (DeFi Wallet Tracker) 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 DeBank (DeFi Wallet Tracker) with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Create a searchable DeFi knowledge base

Feed your wallet history into a vector store. The server outputs from `get_user_history_list` become searchable documents for your index. Your agent queries this index to find patterns in past trades. It stops guessing and starts recalling actual historical data.

Ground your responses in live protocol data

Use `get_protocol` and `get_pool` to populate your index with current market state. Your agent retrieves these facts to answer user questions accurately. This keeps your application grounded in reality. It avoids hallucinations by referencing the latest numbers from the server.

Index token metadata for quick retrieval

Store token details retrieved from `get_token` in your LlamaIndex knowledge graph. Your agent quickly pulls these details when explaining a portfolio. It makes your AI client faster and more precise. You define the context that gets indexed for future queries.

Setup guide

Set up DeBank (DeFi Wallet Tracker) 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 DeBank (DeFi Wallet Tracker) 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 DeBank (DeFi Wallet Tracker) tools.",
)
response = await agent.run("List recent DeBank (DeFi Wallet Tracker) data")

Get your connection token →

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Common questions about DeBank (DeFi Wallet Tracker) MCP in LlamaIndex

It turns ephemeral API data into long-term knowledge. Your agents search through your historical wallet performance to answer complex queries.

It indexes the output returned by the server. You decide when to refresh the index with new data.

You can index the current balance as a data point. Your agent then uses that knowledge to answer questions about your current holdings.

Pass an allowed list to the tool spec. This limits what your agent can access.

The server retrieves public blockchain data based on the addresses you provide. It stores nothing locally, and your raw wallet data is only processed in memory for your agent's use.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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