DexPaprika MCP Server

What does “DexPaprika” MCP Server do?

DexPaprika MCP Server is a Model Context Protocol (MCP) server designed to provide on-demand access to real-time and historical data on crypto tokens, decentralized exchange (DEX) trading activity, and liquidity across multiple blockchains. It enables natural language queries through a standardized interface, making it possible for AI assistants like Claude to fetch live token, pool, and DEX data without the need for API keys or complex configuration. DexPaprika MCP empowers developers and AI-powered agents to explore market trends, analyze token performance, perform DeFi analytics, and support advanced workflows such as portfolio tracking and technical analysis, all via programmatic access to the DexPaprika API.

List of Prompts

No prompt templates are explicitly mentioned in the available documentation or repository files.

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List of Resources

No explicit MCP resources are listed in the repository or documentation.

List of Tools

No explicit tools or tool definitions are found in the server.py or equivalent files in the repository.

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Use Cases of this MCP Server

• Token Analysis Tools: Track price movements, liquidity depth changes, and volume patterns for individual tokens.
• DEX Comparisons: Analyze fee structures, volume, and available pools across different decentralized exchanges.
• Liquidity Pool Analytics: Monitor TVL (Total Value Locked) changes, calculate impermanent loss, and assess price impacts in liquidity pools.
• Market Analysis: Perform cross-chain token comparisons, identify volume trends, and monitor trading activity metrics across blockchains.
• Portfolio Trackers: Enable real-time portfolio value tracking, historical performance analysis, and yield opportunity discovery for DeFi portfolios.
• Technical Analysis: Utilize historical OHLCV (Open, High, Low, Close, Volume) data for trend identification, pattern recognition, and indicator calculations.

How to set it up

Windsurf

1. Ensure Node.js is installed on your system.
2. Locate your Windsurf configuration file.
3. Add the DexPaprika MCP Server using the following JSON snippet:

   {
     "mcpServers": [
       {
         "command": "dexpaprika-mcp",
         "args": []
       }
     ]
   }
   

4. Save the configuration file and restart Windsurf.
5. Verify the server is running by checking for MCP server is running at http://localhost:8010.

Claude

1. Install the server globally:

   npm install -g dexpaprika-mcp
   

2. Start the server:

   dexpaprika-mcp
   

3. In the Claude configuration, add the following snippet:

   {
     "mcpServers": [
       {
         "command": "dexpaprika-mcp",
         "args": []
       }
     ]
   }
   

4. Save and restart Claude.
5. Confirm the connection in the Claude app.

Cursor

1. Install Node.js if not already installed.
2. Open Cursor’s MCP server configuration.
3. Add the DexPaprika MCP Server:

   {
     "mcpServers": [
       {
         "command": "dexpaprika-mcp",
         "args": []
       }
     ]
   }
   

4. Save and restart Cursor.
5. Ensure the MCP server is accessible.

Cline

1. Install Node.js as a prerequisite.
2. Edit your Cline configuration file.
3. Insert the MCP server configuration:

   {
     "mcpServers": [
       {
         "command": "dexpaprika-mcp",
         "args": []
       }
     ]
   }
   

4. Restart Cline to apply changes.
5. Check logs to verify connectivity.

Securing API Keys

DexPaprika MCP does not require API keys for usage, but if you need to add environment variables, you may use:

{
  "env": {
    "EXAMPLE_KEY": "${EXAMPLE_KEY}"
  },
  "inputs": {
    "example_input": "value"
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "dexpaprika-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “dexpaprika-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Roots support: Not mentioned

Based on the above, DexPaprika MCP provides a useful crypto and DEX analytics server for MCP/AI workflows, but is very light on documented prompt templates, tools, or resources, and does not mention Roots or Sampling support. The server is easy to set up, requires no API keys, and is open source, but documentation could be expanded for richer integrations.

MCP Score