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.

./mvnw clean package

./mvnw test

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"
      ]
    },
}

Login to Cloud Foundry instance

cf push -f manifest.yml

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.

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

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

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.