Setup Instructions

1. Open Claude Desktop Configuration
   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json
2. Add Your MCP Server

   {
     "mcpServers": {
       "dexpaprika": {
         "command": "npx",
         "args": ["@modelcontextprotocol/client-sse", "https://mcp.dexpaprika.com/sse"]
       }
     }
   }

3. Restart Claude Desktop

Usage: Claude will automatically discover all 11 tools. Ask questions like "What are the top Ethereum pools?" or "Get me Jupiter token details on Solana"

Setup Instructions

1. Open Cursor Settings (Cmd/Ctrl + ,)
2. Navigate to Features → MCP Servers
3. Add Server:
   • Name: DexPaprika
   • URL: https://mcp.dexpaprika.com/sse
   • Type: SSE

Usage: The AI assistant can now access crypto data while coding. Perfect for building DeFi applications and trading bots.

Setup Instructions

1. Install Cline Extension from VS Code marketplace
2. Configure MCP Server in Cline settings:

   {
     "mcpServers": [
       {
         "name": "DexPaprika",
         "url": "https://mcp.dexpaprika.com/sse",
         "protocol": "sse"
       }
     ]
   }

3. Restart VS Code

Usage: Cline can use crypto data tools during code development for real-time DeFi integration.

Setup Instructions

pip install langchain-mcp-adapters

from langchain_mcp import MCPToolkit
from langchain.agents import Agent

# Initialize MCP toolkit
mcp_toolkit = MCPToolkit(
    server_url="https://mcp.dexpaprika.com/sse",
    protocol="sse"
)

# Create agent with crypto tools
agent = Agent(
    tools=mcp_toolkit.get_tools(),
    llm=your_llm_instance
)

Use Cases: Building crypto trading agents, DeFi analytics workflows, automated blockchain data analysis.

Setup Instructions

from swarm import Agent

def mcp_crypto_tool(query: str) -> str:
    """Access DexPaprika crypto data"""
    # Implement MCP client logic
    # Connect to https://mcp.dexpaprika.com/sse
    return result

crypto_agent = Agent(
    name="Crypto Analyst",
    instructions="You are a crypto data analyst",
    functions=[mcp_crypto_tool]
)

Status: Windsurf Cascade has native MCP integration and supports SSE servers like ours!

Method 1: Plugin Store (Recommended)

1. Open Plugin Store
   • Click the "Plugins" icon in the top right menu in Cascade panel
   • Or go to Windsurf Settings → Cascade → Plugins
2. Add Custom MCP Server
   • If DexPaprika isn't in the store, add it manually
   • Press the refresh button after adding
3. Configure Tools
   • Navigate to Tools tab for the plugin
   • Toggle the crypto data tools you want to enable
   • Note: Cascade has a limit of 100 total tools

Method 2: Manual Configuration

Edit the ~/.codeium/windsurf/mcp_config.json file:

{
  "mcpServers": {
    "dexpaprika": {
      "serverUrl": "https://mcp.dexpaprika.com/sse"
    }
  }
}

For Enterprise Users

Important: Enterprise users must manually enable MCP via settings.

• Team admins can whitelist approved MCP servers
• Once any server is whitelisted, all others are blacklisted
• Provide Server ID: dexpaprika
• Server Config: {"serverUrl": "https://mcp.dexpaprika.com/sse"}

Supported Features

• ✅ Transport: SSE (Server-Sent Events) - fully supported
• ✅ Tools: All 11 crypto data tools available
• ✅ Resources: Supported
• ❌ Prompts: Not currently supported

Documentation: Official Windsurf MCP Guide

Solution: We've created an OpenAPI specification that ChatGPT Actions can use directly!

Method 1: ChatGPT Actions (Recommended)

1. Create a Custom GPT
   • Go to ChatGPT GPT Builder
   • Click "Create" then "Configure"
2. Add the Action
   • Scroll down to "Actions"
   • Click "Create new action"
   • Import from URL: https://mcp.dexpaprika.com/openapi
3. Test & Deploy
   • Test the action in the GPT builder
   • Save and share your crypto data GPT!

Method 2: Direct API Testing

Test the REST endpoints directly:

# Get networks
GET https://mcp.dexpaprika.com/api/networks

# Get Ethereum pools  
GET https://mcp.dexpaprika.com/api/networks/ethereum/pools

# Search for tokens
GET https://mcp.dexpaprika.com/api/search?query=bitcoin

Method 3: OpenAI Function Calling

Use with OpenAI API and function calling:

import openai

# Define functions based on our API
functions = [
    {
        "name": "get_networks",
        "description": "Get blockchain networks",  
        "parameters": {"type": "object", "properties": {}}
    },
    {
        "name": "get_network_pools",
        "description": "Get pools on a network",
        "parameters": {
            "type": "object",
            "properties": {
                "network": {"type": "string", "description": "Network ID"}
            },
            "required": ["network"]
        }
    }
]

response = openai.ChatCompletion.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "What are the top Ethereum pools?"}],
    functions=functions
)