How to Use the DefiLlama (DeFi Analytics) MCP in Claude Code

Q: How do I configure the DefiLlama (DeFi Analytics) MCP Server for Claude Code?

Run claude mcp add --transport http defillama -- . Make sure all flags come before the server name. Your terminal stores this config in /.claude.json.

Q: How do I track token price changes from the command line?

Ask your agent to calculate the momentum. It will call getpercentagechange and print the exact price difference for your specified timeframe directly to standard output.

Pipe DeFi metrics straight into your terminal. Claude Code automates TVL checks and yield monitoring from the command line.

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Connect DefiLlama (DeFi Analytics) MCP to Claude Code

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Setup DefiLlama (DeFi Analytics) with Claude Code

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Claude Code Automates Market Checks

SREs and DevOps engineers do not need a browser to check crypto markets. You just run a terminal command. Your CLI agent executes `get_current_prices` and formats the `{chain}:{address}` output directly into your shell. Automating daily reports becomes trivial with this MCP Server. You can set up a cron job where the agent runs `get_all_chains_tvl`, parses the JSON response, and pipes the top ten networks by total value locked into a Slack webhook.

Headless Protocol Monitoring

Tracking smart contract risk means keeping an eye on liquidity drains. This MCP integration lets your terminal watch those numbers constantly. The agent calls `get_protocol` to monitor specific dApps for sudden drops in TVL. When a bridge gets exploited, you want to know immediately. Your headless setup triggers `get_bridge_volume_chain` to check for abnormal outflows. It then writes the incident data straight to your local logs.

Command-Line Yield Tracking

Stop manually checking web dashboards for APY changes. You tell your terminal agent to find the highest yields, and it fires `get_all_pools`. It filters the raw data and returns only the pools matching your criteria. Stablecoin health is just as easy to monitor from your SSH session. The CLI tool uses `get_all_stablecoins` to check market caps, then pulls `get_stablecoin_historical_data` to verify peg consistency over the last thirty days.

Setup guide

Set up DefiLlama (DeFi Analytics) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see defillama-defi-analytics-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest DefiLlama (DeFi Analytics) transactions." It will automatically discover and invoke the available DefiLlama (DeFi Analytics) tools.

Terminal

claude mcp add --transport http defillama-defi-analytics-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the DefiLlama (DeFi Analytics) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "defillama-defi-analytics-mcp": {
      "type": "url",
      "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 Claude Code

Run `claude mcp add --transport http defillama -- `. Make sure all flags come before the server name. Your terminal stores this config in `~/.claude.json`.

Yes, your CLI agent handles data formatting natively. It pulls the raw JSON from `get_historical_prices` and pipes it into a formatted CSV file on your local machine.

Automated workflows handle this perfectly. You can trigger headless market checks during your GitHub Actions workflow. The agent uses `get_dex_volumes_global` to verify market conditions before allowing a smart contract deployment to proceed.

Ask your agent to calculate the momentum. It will call `get_percentage_change` and print the exact price difference for your specified timeframe directly to standard output.

We manage auth through a single endpoint token so you never expose internal API keys. When your terminal queries a specific protocol ID, the transaction happens inside an isolated V8 sandbox that destroys itself after execution.

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