rug-check-mcpAn MCP server that detects potential risks in Solana meme tokens.
Overview
Key features
- Token Analysis Tool for retrieving and processing Solana token data
- Structured Output with detailed token information
- Risk Assessment including high, moderate, and low risk details
- Audit Status evaluation for tokens
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Risk Assessment for Solana Meme Tokens
Use Rug-Check-MCP to analyze the risk profile of a Solana meme token before investing. The tool provides a Snif score and detailed risk assessment to help make informed decisions.
Integration with AI Agents
Integrate Rug-Check-MCP with AI agents to automate the risk assessment process for Solana tokens. This can help AI agents avoid rug pulls and provide safer investment advice.
Pros & Cons
Pros
- Provides detailed risk analysis of Solana tokens
- Helps prevent rug pulls and investment in unsafe projects
- Structured output facilitates easy integration with AI agents and other tools
Cons
- Requires a Solsniffer API key, which may involve additional costs or registration
- Limited to analyzing Solana tokens, not applicable to other blockchain platforms
- Dependent on the accuracy and reliability of the Solsniffer API data
Reviews
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Q&A
What kind of risk information does the tool return?
The output includes a Snif risk score, market cap, price, supply, and a breakdown of high, moderate, and low risks (e.g., mintable, freeze, ownership concentration) plus audit status such as mint/freeze disabled or LP burned.
Asked by Vincenzo Greco · Jan 11, 2026
Can Rug-Check-MCP analyze tokens on blockchains other than Solana?
No. The tool only retrieves and processes token data from the Solsniffer API, which covers Solana meme tokens, so it cannot assess tokens on other blockchains.
Asked by Damian Wysocki · Nov 2, 2025
What do I need to run Rug-Check-MCP?
You need Python 3.10 or newer and a Solsniffer API key, which you obtain by signing up at Solsniffer. Installation can be done via Smithery or by cloning the repo and running `pip install mcp[cli]`.
Asked by Yara Mansour · Oct 22, 2025
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