Connect with CoinGecko API for cryptocurrency data, historical prices, market caps, OHLC charts, cache refresh, and more
CoinGecko Server is an advanced Model Context Protocol (MCP) server designed to provide comprehensive cryptocurrency data and services for interactive applications such as Claude Desktop. It acts as a robust adapter, enabling seamless integration with the CoinGecko Pro API, offering essential functionalities like paginated coin lists, historical price data retrieval, candlestick data extraction, and local caching mechanisms. This MCP server leverages standardized protocols, which make it compatible with various AI platforms and tools, ensuring efficient and reliable data access for developers building sophisticated applications.
CoinGecko Server offers a suite of features tailored to support AI workflows by presenting structured cryptocurrency data in an accessible manner. These include:
Moreover, the server features a local coin cache with a refresh mechanism. This ensures that frequently requested cryptocurrencies are stored locally on the server for faster response times and reduced API call frequency, thus optimizing performance without compromising accuracy or up-to-dateness of information. These features significantly enhance AI applications such as Claude Desktop by providing rich and timely data sources.
CoinGecko Server employs a Model Context Protocol (MCP) architecture to ensure seamless interaction with various AI tools and platforms, including Claude Desktop, Continue, Cursor, and others. The protocol defines the communication flow between these clients and servers, ensuring consistent and reliable data transfer. MCP's standardization enhances compatibility across different applications while maintaining robustness and security.
The server’s implementation of the MCP protocol facilitates the following capabilities:
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph TB
subgraph DataFlow
A[Data Source] --> B[Cached Data]
B --> C[MCP Server]
C -- Request -> D[Client]
D -- Response --> E[Cached or API Data]
end
style A fill:#e8f5e8
style B fill:#f3e5f5
To start employing the CoinGecko Server in your AI projects, follow these installation steps:
Install via NPM:
npm install coingecko-server
Set Up Environment Variables:
Create a .env
file at the root of your project and set your API key:
COINGECKO_API_KEY=your_api_key_here
Developers can use CoinGecko Server to monitor real-time cryptocurrency prices within their applications. By integrating it with Claude Desktop, users receive automatic updates on the value of their crypto holdings, enabling informed investment decisions.
AI workflows often require historical price data for training trading algorithms. With CoinGecko Server's ability to retrieve detailed OHLC data over various time frames, developers can create sophisticated models that analyze past market behavior and predict future trends.
CoinGecko Server ensures compatibility across multiple AI clients:
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ✅ |
Cursor | ❌ | ✅ | ❌ |
CoinGecko Server is designed to operate effectively across different environments, providing a balanced performance matrix. The server's local caching and efficient API calls ensure swift data retrieval while maintaining accuracy.
graph TD
A[Client Request] --> B[MCP Client]
B --> C[MCP Protocol]
C --> D[MCP Server]
D --> E[Data Source]
style A fill:#e1f5fe
style C fill:#f3e5f5
style E fill:#e8f5e8
For more advanced configurations, developers can customize the server setup as follows:
{
"mcpServers": {
"coingecko": {
"command": "node",
"args": ["/path/to/coingecko-server/build/index.js"],
"env": {
"COINGECKO_API_KEY": "your-api-key-here"
}
}
}
}
Q: Does this server support all AI clients? A: While full compatibility exists with Claude Desktop, some limitations may apply to other clients like Continue and Cursor.
Q: Can I use CoinGecko Server without an MCP client? A: Yes, the server can be used independently; however, its primary value lies in enhancing AI capabilities through standardized protocols.
Q: How often is local cache refreshed? A: The cache refreshes periodically based on predefined intervals to ensure data relevance while avoiding excessive API calls.
Q: Is there a way to monitor server performance and resource usage? A: Yes, developers can implement monitoring tools to track CPU, memory, and I/O operations, ensuring optimal performance.
Q: What are the benefits of using CoinGecko Server in AI workflows? A: It streamlines data access, enhances integration with various applications, and provides a secure platform for handling critical financial information.
Contributors can enhance this project by following these guidelines:
Explore a rich ecosystem of tools and resources for Model Context Protocol integration:
By leveraging CoinGecko Server in your AI development journey, you can establish a robust foundation for integrating valuable cryptocurrency data into sophisticated applications. The server's compatibility with leading AI tools and its efficient protocol implementation make it an indispensable resource for developers working on advanced financial and trading solutions.
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