{
"mcpServers": {
"bitcoin-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Last commit 301 days ago. 1 stars.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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Real-time financial market data: stocks, forex, crypto, commodities, and economic indicators
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MCP server for Financial Modeling Prep API with 250+ financial data tools
Non-custodial x402 payments for AI agents. Sign locally, spend limits, Base network.
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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.