The Crypto Price & Market Analysis MCP server provides comprehensive cryptocurrency analysis using the CoinCap API. It offers real-time price data, market analysis, and historical trends through an easy-to-use interface for Claude and other AI assistants that support the Model Context Protocol.
{
"mcpServers": {
"mcp-coincap-jj": {
"command": "npx",
"args": [
"-y",
"@bujaayjaay/mcp-coincap-jj"
],
"env": {
"COINCAP_API_KEY": "INPUT_YOUR_API_KEY_HERE"
}
}
}
}
Claude Desktop config file locations:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%/Claude/claude_desktop_config.json
npm install @bujaayjaay/mcp-coincap-jj
If you have Smithery installed for Claude Desktop:
smithery install @bujaayjaay/mcp-coincap-jj
You must obtain an API Key from CoinCap to use this server:
This tool retrieves current price and 24-hour statistics for any cryptocurrency.
Information provided includes:
Provides detailed market analysis including:
Analyzes historical price data with:
Try asking Claude questions like:
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.