How to Use the Zerion (DeFi Portfolio) MCP in Mastra AI

Q: What types of assets can I query using Zerion (DeFi Portfolio) and Mastra AI?

It covers everything: total wallet value (getwalletportfolio), individual NFT holdings via getwalletnftpositions, and the foundational token metadata from getfungible.

Q: Can I get swap quotes for different chains using Zerion (DeFi Portfolio) and Mastra AI?

You can use the getswapquotes tool within a workflow step. The agent will gather cross-chain bridge data, allowing your system to make informed decisions about liquidity.

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Connect Zerion (DeFi Portfolio) MCP to Mastra AI

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Setup Zerion (DeFi Portfolio) with Mastra AI

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Perplexity

Handling Complex DeFi Workflows with MCP Server

Need a multi-step process? Mastra handles conditional logic and retries. You can write a workflow that first calls `get_swap_quotes` to check market rates, then uses the results to calculate PnL via `get_wallet_pnl`. If the data fails validation, your agent automatically retries or notifies an admin. This reliability is key when dealing with volatile DeFi data. The MCP Server ensures that even if a specific tool like `get_fungible` times out, your overall process doesn't crash.

Aggregating Portfolio Data via Mastra AI

Mastra excels at dealing with multiple data points. You can configure a single workflow to run `get_wallet_set_portfolio` and `get_wallet_set_positions`. This aggregates total value and all individual holdings from many wallets simultaneously. The agent framework handles the complexity of calling these bulk tools, making it simple for you to build robust portfolio monitoring systems.

Monitoring DeFi Activity with Mastra AI

You don't just want snapshots; you need history. Use `get_wallet_transactions` or `get_wallet_set_transactions`. Your agent can process these transaction lists, filter them by date, and then run another tool like `get_wallet_nft_collections` on the associated assets. This structured approach lets your developer build complex auditing tools around the MCP Server's capabilities.

Setup guide

Set up Zerion (DeFi Portfolio) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Zerion (DeFi Portfolio) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "zerion-defi-portfolio-mcp-client",
  servers: {
    "zerion-defi-portfolio-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Zerion (DeFi Portfolio) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Zerion (DeFi Portfolio) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Zerion (DeFi Portfolio) transactions"
);
console.log(result.text);

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Common questions about Zerion (DeFi Portfolio) MCP in Mastra AI

You define the connection using the endpoint URL in your MCPClient setup. Your agent then calls `mcpClient.listTools()` and uses those methods to execute DeFi operations within a complex, resilient workflow.

It covers everything: total wallet value (`get_wallet_portfolio`), individual NFT holdings via `get_wallet_nft_positions`, and the foundational token metadata from `get_fungible`.

Yes. You can set up a workflow to check multiple wallets using tools like `get_wallet_set_transactions`. The agent framework manages the looping and aggregation of results.

It processes DeFi positions, wallet transactions, NFT metadata, gas estimates, and core financial metrics like PnL. This is critical for financial modeling.

You can use the `get_swap_quotes` tool within a workflow step. The agent will gather cross-chain bridge data, allowing your system to make informed decisions about liquidity.

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