About Bitcoin Model Context Protocol Server
A Bitcoin price tracking MCP server built with Spring AI. It uses CoinGecko APIs to provide an LLM interface for Bitcoin prices.
Key features
- 01Track Bitcoin prices
- 02Use CoinGecko API data
- 03Built with Spring AI MCP
Use cases
- 01Check Bitcoin prices through an LLM
- 02Connect a chatbot to Bitcoin price data
MCP support
Provides an MCP server that connects LLMs to Bitcoin price tracking through CoinGecko APIs.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEBitcoin 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.

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.
Comments
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.