bitcoin-mcp-server
If you are the rightful owner of bitcoin-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The Bitcoin Model Context Protocol Server provides an LLM interface for tracking Bitcoin prices using CoinGecko APIs.
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.
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.
