mcpField
B
Bitcoin MCP Server

Bitcoin MCP Server

Local
github.com/nlinhvuFinance4Updated 85w ago

About Bitcoin MCP Server

Bitcoin MCP Server is a Spring Boot demonstration that tracks Bitcoin prices using CoinGecko APIs. It is intended for Claude Desktop users who want price data available through an MCP server.

Key features

  1. 01Bitcoin price tracking
  2. 02CoinGecko API access
  3. 03Spring Boot implementation
  4. 04Claude Desktop integration

Use cases

  1. 01Checking Bitcoin prices in Claude Desktop
  2. 02Exploring a Spring Boot MCP example

MCP support

It exposes Bitcoin price tracking through an MCP server configured for Claude Desktop.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Bitcoin MCP Server

A demonstration of A Spring Boot/AI MCP Server that tracks Bitcoin prices using CoinGecko APIs (api.coingecko.com/api/v3)

Note: The implementation in BitcoinServiceClient class is generated by Claude 3.7 Sonnet

Prerequisites

  • Java 17 or later
  • Maven 3.6 or later
  • Claude Desktop installed with a Claude Account

Build

To integrate with Claude Desktop, need to build a jar file:

./gradlew clean build -x test

Claude Desktop Integration

To integrate with Claude Desktop, add the following configuration to your Claude Desktop settings:

{
  "mcpServers": {
    "bitcoin-mcp-server": {
      "command": "java",
      "args": [
        "-jar",
        "/absolute/path/to/bitcoin-mcp-server-0.0.1-SNAPSHOT.jar"
      ]
    }
  }
}

Additional Resources

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.