Bitcoin MCP Server

The Bitcoin MCP Server is a lightweight Spring Boot application that exposes Bitcoin price data to AI assistants via the Model Context Protocol. It pulls real‑time market information from CoinGecko’s public APIs and makes that data available as a structured resource within the MCP ecosystem. By providing a dedicated endpoint for cryptocurrency prices, the server enables developers to enrich AI interactions with up‑to‑date financial information without embedding external calls directly in the assistant’s prompt logic.

For developers building AI‑powered tools, this server solves a common integration challenge: keeping data sources decoupled from the assistant while still allowing on‑demand access. Instead of hardcoding price queries into a prompt or writing custom logic in the assistant’s code, an MCP client can simply request the bitcoin‑price resource. The server handles authentication with CoinGecko, rate limiting, and data formatting, returning a clean JSON payload that the assistant can consume as part of its context. This separation promotes maintainability, reusability, and scalability across multiple projects that need financial data.

Key capabilities include:

• Resource provisioning – Exposes a resource that returns the current price in USD, EUR, and BTC.
• Tool integration – The server can be invoked as a tool within an MCP client, allowing assistants to perform price lookups on demand.
• Standardized API – Uses Spring Boot’s REST conventions and the MCP boot starter, ensuring compatibility with any MCP‑compliant AI client.
• Extensibility – Built on Spring’s dependency injection, developers can add additional cryptocurrency endpoints or enrich the response with historical data and market trends.

Typical use cases involve financial chatbots, portfolio trackers, or automated trading assistants that need to reference live market prices. For example, a Claude desktop user could ask the assistant for “What’s Bitcoin’s price right now?” and receive an instant, accurate answer pulled from the MCP server. In a developer workflow, the server can be deployed behind a corporate proxy or inside a Kubernetes cluster, then referenced by multiple AI agents across the organization.

What sets this MCP server apart is its minimal footprint and clear separation of concerns. By leveraging CoinGecko’s stable API, the server requires no custom data scraping or paid subscriptions, keeping costs low. Its Spring Boot foundation means developers familiar with Java can extend the service quickly—adding caching, multi‑currency support, or even integration with other financial APIs—all while maintaining the same MCP contract. This makes it an ideal building block for any AI‑centric application that needs reliable, real‑time cryptocurrency data.