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How to Use the DeBank (DeFi Wallet Tracker) MCP in OpenAI Agents SDK

Connect OpenAI Agents SDK to DeBank to build production DeFi agents with built-in safety guardrails and full transaction tracing.

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OpenAI Agents SDK

Connect DeBank (DeFi Wallet Tracker) MCP to OpenAI Agents SDK

Create your Vinkius account to connect DeBank (DeFi Wallet Tracker) to OpenAI Agents SDK 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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Track multi-chain portfolios with OpenAI Agents SDK

The DeBank MCP Server exposes cross-chain wallet balances and protocol positions directly to your production agent. Your system calls `get_user_total_balance` and `get_user_all_complex_protocol_list` to pull real-time net worth data across supported networks. You pass these tools into the Agent constructor, letting the model auto-discover the available endpoints. Handoffs between specialized agents work perfectly here. A primary agent gathers the initial portfolio state, then passes the context to a risk-assessment agent that uses `get_user_token_authorized_list` to check for vulnerable token approvals. Every API call logs into your OpenAI tracing dashboard.

Pre-execute transactions

This MCP integration lets your agents decode and dry-run blockchain transactions before signing. When your agent needs to evaluate a proposed swap, it triggers `pre_exec_tx` to simulate the outcome. If the simulation fails or shows unexpected token outflows, your built-in guardrails block the execution immediately. You also get human-readable context for historical actions. The `explain_tx` tool breaks down complex contract interactions into plain text. Your agent reads the raw bytes, requests the explanation, and returns a verified summary to the end user without hallucinating contract logic.

Access deep protocol metrics

Market analysis agents need exact liquidity and token data to make routing decisions. Using this MCP Server, your OpenAI agent pulls current gas prices via `get_gas_market` and historical token performance using `get_token_history_price`. Setting `cacheToolsList=True` ensures your agent doesn't waste time re-fetching the schema on every run. Finding yield opportunities requires knowing where the liquidity sits. The agent executes `get_pool` and `get_protocol` to evaluate specific decentralized exchanges. Because Vinkius handles the authentication, you just pass your single endpoint token to `MCPServerStreamableHttp` and focus on defining your safety constraints.

Setup guide

Set up DeBank (DeFi Wallet Tracker) MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all DeBank (DeFi Wallet Tracker) tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives DeBank (DeFi Wallet Tracker) tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DeBank (DeFi Wallet Tracker) tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="DeBank (DeFi Wallet Tracker) Agent",
            instructions="You have access to DeBank (DeFi Wallet Tracker) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DeBank. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DeBank (DeFi Wallet Tracker) MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance with your Vinkius URL and pass it to the Agent constructor in the `mcp_servers` list.
Yes, the agent calls `get_user_token_authorized_list` and `get_user_nft_authorized_list`. It returns exact spender contracts and allowance amounts.
Your agent triggers `pre_exec_tx` to run a dry execution on the target chain. This returns the projected state changes so your guardrails can validate the outcome.
The server provides the `get_gas_market` tool. Your agent fetches current base fees and priority fees across all supported networks.
The Vinkius V8 Isolate Sandbox spins up an ephemeral environment just for your session. It processes the wallet addresses, token balances, and transaction hashes requested by your agent, then destroys the container the second the connection drops.

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