How to Use the DefiLlama (DeFi Analytics) MCP in Mastra AI

Q: How do I load the DefiLlama (DeFi Analytics) MCP Server into Mastra AI?

Install @mastra/mcp@latest. Initialize a new MCPClient with your Vinkius endpoint URL. Call mcpClient.listTools() and spread the results into your agent's tool array.

Q: Can I build conditional workflows based on DefiLlama (DeFi Analytics) data in Mastra AI?

Yes. You can configure a workflow that checks getcurrenttvlchain. If the value drops below a threshold, Mastra automatically executes your predefined fallback steps.

Q: How do I track specific protocol TVL changes over time?

Have your agent execute getprotocol on a schedule. It returns the complete historical TVL data for that specific dApp.

Build resilient DeFi trading workflows in Mastra AI that check yields and track stablecoin shifts automatically.

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Connect DefiLlama (DeFi Analytics) MCP to Mastra AI

Create your Vinkius account to connect DefiLlama (DeFi Analytics) to Mastra AI 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 DefiLlama (DeFi Analytics) with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

React to sudden market shifts.

Using `get_percentage_change` lets you check if a token dumped over the last hour. Static scripts break when crypto markets move fast. Mastra lets you build workflows that actually adapt to changing conditions. Calling `get_current_prices` verifies the exact current value before executing a defensive trade. If the drop triggers your threshold, the workflow branches automatically. Exponential backoff handles any API rate limits along the way.

Automate your yield discovery.

Setting up a regular job that calls `get_all_pools` scans the entire market for high-yield opportunities. Chasing APY across chains is exhausting manual work. You can hand that job over to an autonomous process. Pulling `get_pool_historical_data` confirms the yield is stable rather than a temporary spike. The real advantage is what happens next. You get fully vetted targets delivered to your slack channel.

Track liquidity with Mastra AI and this MCP Server.

Requesting `get_dex_volumes_global` gives you the macro view of decentralized exchange activity. Smart money follows volume. Your agent needs to know where the liquidity is flowing before making decisions. Triggering `get_dex_volume_chain` shows if activity is moving from Ethereum to Solana. Drilling down into specific networks is just as simple. You build the logic, and the framework handles the data fetching reliably.

Setup guide

Set up DefiLlama (DeFi Analytics) 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 DefiLlama (DeFi Analytics) 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: "defillama-defi-analytics-mcp-client",
  servers: {
    "defillama-defi-analytics-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Get your connection token →

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Common questions about DefiLlama (DeFi Analytics) MCP in Mastra AI

Install `@mastra/mcp@latest`. Initialize a new `MCPClient` with your Vinkius endpoint URL. Call `mcpClient.listTools()` and spread the results into your agent's tool array.

Yes. You can configure a workflow that checks `get_current_tvl_chain`. If the value drops below a threshold, Mastra automatically executes your predefined fallback steps.

The framework catches the error and applies exponential backoff. It will retry the specific MCP Server request without crashing your entire multi-step operation.

Have your agent execute `get_protocol` on a schedule. It returns the complete historical TVL data for that specific dApp.

Your workflow logic stays on your machine. Vinkius only sees the exact API request, which runs in a zero-trust sandbox. The specific token symbols and pool IDs you query are destroyed instantly after execution.

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