dexpaprika-mcp

The DexPaprika MCP server provides on-demand access to real-time and historical data on crypto tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language queries for exploring market trends, token performance, and DeFi analytics through a standardized interface. Specifically designed for AI assistants like Claude, it allows programmatic fetching of data with zero configuration.

GitHub Stars

21

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0

Views

20

Forks

6

Issues

3

Installation
Difficulty
Intermediate
Estimated Time
10-20 minutes
Requirements
Node.js 18.0.0以上
npm 8.0.0以上
+1 more

Installation

Installation

Prerequisites

Node.js: 18.0.0 or higher
npm: 8.0.0 or higher
Claude Desktop: Latest version

Installation Steps

1. Install Globally

bash
npm install -g dexpaprika-mcp

2. Verify Installation

bash
dexpaprika-mcp --version

3. Start Server

bash
dexpaprika-mcp

Troubleshooting

Common Issues

Issue: Server won't start Solution: Check Node.js version and reinstall dependencies. Issue: Not recognized by Claude Desktop Solution: Verify configuration file path and syntax.

Configuration

Configuration

Claude Desktop Setup

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%/Claude/claude_desktop_config.json (Windows):
json
{
  "mcpServers": {
    "dexpaprika": {
      "command": "npx",
      "args": ["dexpaprika-mcp"]
    }
  }
}

Environment Variables

Set the following environment variables as needed:
bash
export API_KEY="your-api-key"
export DEBUG="true"

Examples

Examples

Basic Usage

Using with Claude Desktop

1Verify MCP Server Startup
Open Claude Desktop and confirm that the configuration has been loaded correctly.
2Execute Basic Commands

   Available tools from this MCP server:
   - tool1: Description of tool1
   - tool2: Description of tool2
   

Programmatic Usage

javascript
// JavaScript example (Node.js)
const { MCPClient } = require('@modelcontextprotocol/client');

const client = new MCPClient();
await client.connect();

// Execute tool
const result = await client.callTool('toolName', {
  parameter1: 'value1',
  parameter2: 'value2'
});

console.log(result);

Use Cases

Building tools to track price movements and liquidity depth changes.
Comparing fee structures and trading volumes across different DEXes.
Monitoring TVL changes and impermanent loss calculations in liquidity pools.
Developing market analysis tools for cross-chain token comparisons.