Dex Kline MCP
D

Dex Kline MCP

An MCP server that provides services for obtaining K-line candlestick chart data from decentralized exchanges (DEXs), supporting multi-chain and multi-time frame OHLCV data queries.
2.5 points
0

What is DEX K-line MCP?

DEX K-line MCP is a server specifically designed for AI assistants and automated workflows. It can obtain real-time K-line chart data from multiple decentralized exchanges (such as Uniswap, PancakeSwap, etc.). This data includes the opening price, high price, low price, closing price, and trading volume (OHLCV), helping users analyze the market trends of cryptocurrencies.

How to use DEX K-line MCP?

Through simple natural language instructions, you can request the K-line data of specific tokens on a specified blockchain. The server will automatically select the trading pair with the highest liquidity and return formatted tabular data, making it convenient for you to conduct technical analysis or market research.

Applicable scenarios

Scenarios such as cryptocurrency market analysis, trading strategy formulation, investment decision support, automated trading systems, price monitoring alerts, and technical indicator calculation.

Main features

Multi-chain support
Supports multiple mainstream blockchain networks such as Ethereum (ETH), Binance Smart Chain (BSC), and Solana.
Flexible time periods
Provides K-line data for various time periods such as 1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, 12 hours, and 1 day.
Intelligent pool selection
Automatically selects the trading pool with the highest liquidity to ensure the accuracy and reliability of the data.
Tabular output
The data is presented in a clear and readable tabular form, facilitating viewing and analysis.
Custom time range
Supports specifying the end time and the number of data points, allowing flexible retrieval of historical data.
Advantages
Real-time data: Provides the latest market data from decentralized exchanges.
Multi-chain coverage: Supports mainstream blockchain networks, with a wide coverage area.
Easy to use: Professional K-line data can be obtained through natural language.
Automated integration: Specifically designed for AI agents and workflows, making it easy to integrate.
Accurate data: Automatically selects trading pairs with high liquidity to ensure data quality.
Limitations
Dependence on external APIs: The data source depends on the availability of the GeckoTerminal API.
Data latency: There may be slight data latency, which is not suitable for high-frequency trading.
Limited chain support: Currently only supports some mainstream blockchains.
Data volume limitation: A single request can return a maximum of 1000 data points.

How to use

Installation and configuration
First, you need to install the Python environment and the uv package manager. Then, clone the project and install the dependencies.
Integration into Claude
Install the server into Claude Desktop to ensure that it can be accessed through Claude.
Start using
Use natural language directly in Claude to request K-line data, specifying the token address, blockchain, and time period.

Usage examples

Basic price query
Query the price trend of a certain token within a specific time period.
Multi-time period analysis
Compare the market performance of different time periods.
Historical data analysis
Analyze the market situation at a specific time point.

Frequently Asked Questions

Which blockchain networks are supported?
What is the data update frequency?
Is an API key required?
What is the maximum number of data points that can be obtained?
How to ensure data accuracy?

Related resources

GitHub repository
The source code and latest updates of the project.
GeckoTerminal API documentation
The official documentation of the underlying data API.
Model Context Protocol
The official introduction and specification of the MCP protocol.
uv package manager
The Python package management tool used in the project.

Installation

Copy the following command to your Client for configuration
{
       "mcpServers": {
           "DEX K-line": {
               "command": "uv",
               "args": [ "--directory", "/path/to/dex-kline-mcp", "run", "main.py" ]
           }
       }
    }
Note: Your key is sensitive information, do not share it with anyone.

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