An MCP server that detects potential rug pull risks in Solana meme tokens.
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# Rug-Check-MCP An MCP server that detects potential risks in Solana meme tokens, helping AI agents avoid rug pulls and unsafe projects.   ## Features - **Token Analysis Tool**: The `analysis_token` tool retrieves and processes Solana token data from the Solsniffer API. - **Structured Output**: Returns detailed token information including name, symbol, Snif score, market cap, price, supply, risks, and audit status. ## Prerequisites - Python 3.10 or higher - A Solsniffer API key (sign up at [Solsniffer](https://solsniffer.com) to obtain one) ## Installation 1. **Clone the Repository**: ```bash git clone https://github.com/kukapay/rug-check-mcp.git cd rug-check-mcp ``` 2. **Install Dependencies**: Ensure you have `pip` installed, then run: ```bash pip install mcp[cli] requests python-dotenv ``` 3. **Client Configuration**: ``` "mcpServers": { "rug-check-mcp": { "command": "python", "args": ["path/to/rug-check-mcp/main.py"], "env": { "SOLSNIFFER_API_KEY": "your_solsniffer_api_key_here" } } } ``` ## Tool: `analysis_token` - **Description**: Analyzes a Solana token based on its address. - **Input**: `token_address` (string) - The Solana token address to analyze. - **Output**: A dictionary containing: - `token_address`: Token address - `token_name`: Token name - `token_symbol`: Token symbol - `snif_score`: Solsniffer risk score (0-100) - `market_cap`: Market capitalization in USD - `price`: Token price in USD - `supply_amount`: Total supply of the token - `risks`: High, moderate, and low risk details with counts and descriptions - `audit_risk`: Audit status (mint/freeze disabled, LP burned, top 10 holders) ### Example Output For token addre…
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