Overview
What is Bitcoin Model Context Protocol Server?
This MCP server provides an LLM interface for tracking Bitcoin prices using the CoinGecko API (api.coingecko.com/api/v3). It is built with the Spring AI MCP project and is designed to be integrated with AI models through the Model Context Protocol.
How to use Bitcoin Model Context Protocol Server?
Build the server with ./mvnw clean package. Configure your MCP client (e.g., Claude Desktop) by adding a java -jar /path/to/bitcoinn-mcp-server-0.0.1-SNAPSHOT.jar command in the claude_desktop_config.json. Optionally deploy to Cloud Foundry using cf push -f manifest.yml and bind via cf cups and cf bind-service.
Key features of Bitcoin Model Context Protocol Server
- Provides an LLM interface for Bitcoin price tracking.
- Uses the CoinGecko API (api.coingecko.com/api/v3).
- Built with the Spring AI MCP framework.
- Deployable on Cloud Foundry.
- Configurable via standard MCP client configuration.
Use cases of Bitcoin Model Context Protocol Server
- Integrate Bitcoin price queries into AI chatbots and assistants.
- Enable LLMs to fetch live Bitcoin prices during conversations.
- Combine with other MCP services for broader financial data access.
FAQ from Bitcoin Model Context Protocol Server
What API does the server use?
It uses the CoinGecko API (api.coingecko.com/api/v3) to fetch Bitcoin prices.
How do I build the server?
Run ./mvnw clean package from the project root.
How do I configure this server for an MCP client like Claude Desktop?
Add a JSON entry to claude_desktop_config.json specifying the command java -jar /path/to/bitcoinn-mcp-server-0.0.1-SNAPSHOT.jar and the associated arguments.
Can I deploy this server on Cloud Foundry?
Yes. You can push it with cf push -f manifest.yml, create a user‑provided service with cf cups bitcoin-mcp-server, bind it with cf bind-service, and restart the app.
What runtime does it require?
The server requires Java to run (launched via java -jar).
