MCPSERV.CLUB
AdI-70

Realtime CryptoPrice MCP Server

MCP Server

Real‑time crypto data via MCP and HTTP

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Updated Sep 22, 2025

About

A Model Context Protocol server that delivers live cryptocurrency prices from CoinGecko, offering both stdio MCP tools and a responsive web dashboard for monitoring and integration.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The RealTime CryptoPrice MCP Server is a purpose‑built bridge that lets AI agents retrieve live cryptocurrency market data directly from the CoinGecko API. By exposing this information through a standard Model Context Protocol (MCP) interface, the server removes the need for agents to handle HTTP requests or API keys themselves; instead they can invoke simple MCP tools such as and . This abstraction is particularly valuable for developers building conversational agents that need up‑to‑date market insights without embedding external service logic in the agent code.

At its core, the server offers a dual transport model. The classic MCP stdio channel allows any MCP‑compliant client—whether it’s a local CLI tool or an embedded assistant—to communicate with the server in a lightweight, streaming fashion. Complementing this is a modern Express‑based HTTP dashboard that provides real‑time status monitoring, interactive price lookups, and a market overview of the top 1,000 cryptocurrencies. The web interface is responsive and includes live charts, currency conversion options (USD, EUR, JPY, GBP, CAD, AUD), and graceful error handling, making it useful both for developers testing the MCP tools and for end‑users who want a quick glance at market trends.

Key capabilities are delivered through well‑typed TypeScript services that fetch data from CoinGecko, cache responses for efficiency, and validate input with Zod. The MCP tools expose two primary functions: , which returns the current price of a specified coin in any supported fiat currency, and , which lists market‑cap‑ranked coins along with 24‑hour change percentages. Because the server is production ready—optimized for scalability, error resilience, and clean API design—it can be deployed behind load balancers or container orchestrators without modification.

Real‑world use cases abound. A financial chatbot can answer user queries like “What’s the current price of Ethereum in AUD?” by simply calling . A portfolio management assistant can poll to surface emerging opportunities or alert users when a coin’s 24‑hour change exceeds a threshold. Developers can also integrate the HTTP dashboard into internal dashboards or testing suites to verify MCP tool behavior in a controlled environment. By centralizing market data access, the RealTime CryptoPrice MCP Server streamlines workflow integration, reduces duplication of API handling logic across agents, and ensures consistent data freshness for all downstream applications.