How to Use the DefiLlama (DeFi Analytics) MCP in Cursor

Q: How do I configure DefiLlama (DeFi Analytics) inside Cursor?

Add the MCP server to your .cursor/mcp.json file. Cursor automatically loads the tools, allowing you to query live DeFi metrics directly from the chat pane.

Q: Can Cursor use DefiLlama (DeFi Analytics) to fetch live chain TVL?

Yes. Your agent runs getcurrenttvlchain and getallchainstvl to pull live TVL metrics into your active editor session.

Q: How does DefiLlama (DeFi Analytics) help me write smart contracts in Cursor?

Cursor invokes tools like getpercentagechange and getpricechart to write and test pricing logic with real-time market data.

Q: Can I pull DEX and bridge volumes while coding?

Yes. Cursor calls getdexvolumechain and getbridgevolumechain to inject volume metrics directly into your codebase.

Inject live DefiLlama pricing, TVL, and yield metrics directly into your Cursor codebase with this DeFi MCP Server.

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Connect DefiLlama (DeFi Analytics) MCP to Cursor

Create your Vinkius account to connect DefiLlama (DeFi Analytics) to Cursor 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 Cursor

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Code with Live Token Prices in Cursor

The `get_current_prices` tool feeds real-time token valuations directly to Cursor's AI agent. Instead of hardcoding stale mock prices or writing custom API fetch wrappers, your editor pulls live market data using the contract address. You write code that works with actual market rates from the start. When testing historical scenarios, Cursor runs `get_historical_prices` to populate your test suites with real historical data. This lets you debug pricing math using actual on-chain events.

Inline Pool Yield Auditing in your Editor

Your editor runs `get_all_pools` to fetch live APY and TVL metrics directly inside your workspace. Cursor analyzes this data to help you build yield-aggregator logic or compare pool performances. You don't have to leave your code to check external dashboards. If you need to verify a specific pool's stability, the agent calls `get_pool_historical_data` to review past yields. This helps you write smart contracts that adapt to shifting yield environments.

Smart Contract Integration with DefiLlama MCP Server

This MCP Server exposes `get_protocols` to let Cursor analyze the total value locked in specific protocols. Your agent uses this live context to help you write integration code or build custom dashboards. You get accurate, real-time TVL data injected straight into your source files. To track broader ecosystem trends, Cursor triggers `get_historical_tvl_global` to fetch historical macro data. This keeps your applications aligned with actual market conditions.

Setup guide

Set up DefiLlama (DeFi Analytics) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the DefiLlama (DeFi Analytics) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent DefiLlama (DeFi Analytics) transactions." If the MCP tools are loaded correctly, Cursor will call the DefiLlama (DeFi Analytics) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "defillama-defi-analytics-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about DefiLlama (DeFi Analytics) MCP in Cursor

Add the MCP server to your `.cursor/mcp.json` file. Cursor automatically loads the tools, allowing you to query live DeFi metrics directly from the chat pane.

Yes. Your agent runs `get_current_tvl_chain` and `get_all_chains_tvl` to pull live TVL metrics into your active editor session.

Cursor invokes tools like `get_percentage_change` and `get_price_chart` to write and test pricing logic with real-time market data.

Yes. Cursor calls `get_dex_volume_chain` and `get_bridge_volume_chain` to inject volume metrics directly into your codebase.

The server only requests public, read-only DeFi metrics like pool APYs and token prices. No local source code or private API keys are ever transmitted.

Use it with your favorite AI tools

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

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