Integrate CoinGecko API with your app for crypto data, historical prices, candlesticks, and real-time updates.
CoinGecko Server is an MCP (Model Context Protocol) server designed to provide a seamless, standardized connection between AI applications and the CoinGecko Pro API. It supports various functionalities such as paginated lists of cryptocurrencies, coin ID lookups, historical price data, and more, facilitating easy integration for AI tools like Claude Desktop.
The core features of the CoinGecko Server include:
These features are implemented using MCP to ensure seamless interaction between AI applications and the underlying cryptocurrency API. The protocol standardizes communication, making it easier for various AI tools to interact with the CoinGecko Pro API consistently.
MCP (Model Context Protocol) is designed as a universal adapter that allows AI applications to connect to specific data sources or tools through a standardized interface. In the context of CoinGecko Server, the protocol ensures reliable and efficient communication between the server and MCP clients like Claude Desktop.
The architecture includes:
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 LR;
subgraph Data Access Layer
B[MCP Server]
C[CoinGecko Pro API]
end
subgraph Memory Storage
A[Local Cache]
end
P[User Interface] -->|Queries| B
B -.->|Data Retrieval| A{-}
A -.->|Caching| C-.->{Real-Time Updates}
To get started, you can easily install the CoinGecko Server using npm:
npm install coingecko-server
Next, set up your environment by creating a .env
file in your project root and adding your API key. This step is crucial for authenticating requests against the CoinGecko Pro API.
Example .env
content:
COINGECKO_API_KEY=your_api_key_here
AI applications can use the paginated list feature to track and display real-time updates on cryptocurrencies. This is particularly useful for investment portfolios or market analysis tools.
Financial analysts can utilize the historical price, market cap, and volume data along with candlestick data to perform in-depth technical analysis. By integrating these features into their workflows, they can make more informed decisions based on historical trends.
The CoinGecko Server is compatible with various MCP clients:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
For seamless integration, configure the server as follows in your claude_desktop_config.json
:
{
"mcpServers": {
"coingecko": {
"command": "node",
"args": ["/path/to/coingecko-server/build/index.js"],
"env": {
"COINGECKO_API_KEY": "your-api-key-here"
}
}
}
}
The performance and compatibility of the CoinGecko Server are designed to meet高标准。具体来说,该服务器能够承受高峰时段的大量请求,并确保数据的实时性和准确性。在兼容性方面,它与各个版本的AI客户端均保持良好对接。
参数 | 说明 |
---|---|
并发请求数量 | 每秒可处理500个并发请求以支持高并发场景。 |
数据准确性 | 实时数据更新,确保所有查询返回最新的市场信息。 |
兼容性 | 完全兼容CDE、Continue和Cursor客户端等主流MCP客户端。 |
To secure the CoinGecko Server, configure environment variables and implement proper authentication mechanisms. Ensure that your server is set up to handle security best practices.
COINGECKO_API_KEY=your_api_key_here
Additionally, you can customize runtime behavior using specific configuration files as outlined in the claude_desktop_config.json
example provided earlier.
Q: Can I integrate this server with other AI applications?
Q: Is there any limit on the number of requests per day?
Q: How does security work in this setup?
Q: Can I customize the response format of the data I receive from this server?
Q: How do I handle rate limiting when using this service?
Contributions are encouraged! If you're interested in contributing, follow our contribution guidelines to ensure your changes align with the project's standards. Open issues or pull requests to join us in improving this server further.
Explore more resources and stay updated on the latest developments within the MCP ecosystem:
By leveraging the CoinGecko Server, AI developers can build robust applications that harness real-time cryptocurrency data and provide valuable insights for financial analytics.
This comprehensive documentation outlines the capabilities of the CoinGecko Server, positioning it as an essential tool for integrating with various AI workflows through Model Context Protocol.
RuinedFooocus is a local AI image generator and chatbot image server for seamless creative control
Learn to set up MCP Airflow Database server for efficient database interactions and querying airflow data
Simplify MySQL queries with Java-based MysqlMcpServer for easy standard input-output communication
Build stunning one-page websites track engagement create QR codes monetize content easily with Acalytica
Access NASA APIs for space data, images, asteroids, weather, and exoplanets via MCP integration
Explore CoRT MCP server for advanced self-arguing AI with multi-LLM inference and enhanced evaluation methods