MCP ExplorerExplorer

Bitcoin Mcp Server

@kirtiapteon 9 months ago
1 MIT
FreeCommunity
AI Systems
The Bitcoin MCP Server provides a simple LLM interface to track Bitcoin prices via CoinGecko APIs. It is built on the Spring AI MCP project, enabling easy integration and real-time price updates for applications.

Overview

What is Bitcoin Mcp Server

The bitcoin-mcp-server is a Model Context Protocol Server designed to provide a large language model (LLM) interface for tracking Bitcoin prices using the CoinGecko APIs.

Use cases

Use cases include developing trading bots, creating financial dashboards, and providing price alerts for Bitcoin investors.

How to use

To use the bitcoin-mcp-server, you need to build it using Maven with the command ‘./mvnw clean package’, and then configure it for your MCP Client by providing the necessary JSON configuration.

Key features

Key features include integration with CoinGecko APIs for real-time Bitcoin price tracking, a user-friendly LLM interface, and compatibility with the Spring AI MCP framework.

Where to use

The bitcoin-mcp-server can be used in financial applications, cryptocurrency trading platforms, and any system requiring real-time Bitcoin price data.

Content

Bitcoin Model Context Protocol Server

This MCP Server provides an LLM interface for tracking Bitcoin prices using CoinGecko APIs (api.coingecko.com/api/v3). It was built with the Spring AI MCP project.

Sample

Building the Server

./mvnw clean package

Building the Server

./mvnw test

Configuration

You will need to supply a configuration for the server for your MCP Client. Here’s what the configuration looks like for claude_desktop_config.json:

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

Deploy on to Cloud Foundry

Login to Cloud Foundry instance

cf push -f manifest.yml

Binding to MCP Agents

Model Context Protocol (MCP) servers are lightweight programs that expose specific capabilities to AI models through a standardized interface. These servers act as bridges between LLMs and external tools, data sources, or services, allowing your AI application to perform actions like searching databases, accessing files, or calling external APIs without complex custom integrations.

Create a user-provided service that provides the URL for an existing MCP server:

cf cups bitcoin-mcp-server -p '{"mcpServiceURL":"https://your-bitcoin-mcp-server.example.com"}'

Bind the MCP service to your application:

cf bind-service ai-tool-chat bitcoin-mcp-server

Restart your application:

cf restart ai-tool-chat

Your chatbot will now register with the bitcoin MCP agent, and the LLM will be able to invoke the agent’s capabilities when responding to chat requests.

Tools

No tools

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