CoinMarketCap MCP Server

What does “CoinMarketCap” MCP Server do?

The CoinMarketCap MCP Server is an implementation of the Model Context Protocol (MCP) designed to connect AI assistants with real-time cryptocurrency market data from CoinMarketCap. As a bridge between AI clients and the CoinMarketCap API, this server enables enhanced development workflows for applications that require up-to-date crypto price information, market statistics, and other digital asset data. By exposing resources and tools for efficient data retrieval and standardized interactions, the CoinMarketCap MCP Server empowers developers to integrate cryptocurrency insights into their agents or workflows, facilitating tasks such as portfolio management, market analysis, and automated reporting.

List of Prompts

No explicit prompt templates are listed or described in the available repository documentation or files.

List of Resources

No explicit resources are documented or described in the available repository documentation or files.

List of Tools

No tool list or descriptions are available in the repository documentation or server.js/index.js files.

Use Cases of this MCP Server

• Cryptocurrency Price Tracking: Integrate real-time price data from CoinMarketCap into AI-powered dashboards or chatbots to provide up-to-date market information.
• Portfolio Management: Enable automated assistants to fetch and summarize portfolio valuations and market changes using CoinMarketCap data.
• Market Analysis: Allow AI agents to analyze market trends, compare assets, and generate market reports for users or developers.
• Automated Alerts: Set up notification flows for significant market movements, leveraging live CoinMarketCap data via the MCP Server.
• API Integration for Trading Bots: Facilitate trading bots or algorithmic agents with access to comprehensive crypto market data for more informed trading strategies.

How to set it up

Windsurf

1. Ensure you have Node.js installed and the latest Windsurf version.
2. Locate your Windsurf configuration file.
3. Add the CoinMarketCap MCP Server using the following JSON snippet:

   {
     "mcpServers": {
       "coinmarketcap-mcp": {
         "command": "npx",
         "args": ["@shinzolabs/coinmarketcap-mcp@latest"],
         "env": {
           "COINMARKETCAP_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify that the server is running and accessible.

Claude

1. Install Node.js and ensure you have the Claude environment ready.
2. Open or create the Claude configuration file.
3. Add the CoinMarketCap MCP Server configuration:

   {
     "mcpServers": {
       "coinmarketcap-mcp": {
         "command": "npx",
         "args": ["@shinzolabs/coinmarketcap-mcp@latest"],
         "env": {
           "COINMARKETCAP_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

4. Restart Claude after saving your changes.
5. Confirm MCP server availability within Claude.

Cursor

1. Make sure Node.js is installed and Cursor is set up.
2. Access the Cursor settings or configuration file.
3. Add the following configuration:

   {
     "mcpServers": {
       "coinmarketcap-mcp": {
         "command": "npx",
         "args": ["@shinzolabs/coinmarketcap-mcp@latest"],
         "env": {
           "COINMARKETCAP_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

4. Save and restart Cursor.
5. Check the integration by querying the MCP server from Cursor.

Cline

1. Confirm Node.js installation and prepare the Cline platform.
2. Edit the Cline configuration as follows:

   {
     "mcpServers": {
       "coinmarketcap-mcp": {
         "command": "npx",
         "args": ["@shinzolabs/coinmarketcap-mcp@latest"],
         "env": {
           "COINMARKETCAP_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

3. Save the configuration and restart Cline.
4. Test the CoinMarketCap MCP Server connection.

Note: Always secure your API keys using environment variables as shown in the “env” object above.

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:

{
  "coinmarketcap-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 “coinmarketcap-mcp” to your server’s actual name and replace the URL with your own MCP server URL.

Overview

A thorough review of the repo indicates minimal documentation and no explicit prompt, resource, or tool definitions. The setup is standard and well-described.

Our opinion

Based on the two tables, this MCP server implementation has standard setup instructions and a permissive license, but lacks clear documentation around specific MCP features such as prompts, resources, and tools. As such, its utility for developers is reduced unless they examine the code directly. We would rate this MCP a 4/10 for overall usefulness and documentation completeness.

MCP Score