Rug-Check-MCP is an MCP server designed to safeguard AI agents operating within the Solana meme token ecosystem. By leveraging the Solsniffer API, it analyzes Solana tokens, providing AI models with critical risk assessments to avoid potential "rug pulls" and unsafe projects.

At its core is the analysis_token tool, which accepts a Solana token address and returns a comprehensive report. This report includes the token's name, symbol, Solsniffer score, market cap, price, supply, and detailed risk assessments, covering minting, freezing, liquidity, and holder distribution. The structured output allows AI models to make informed decisions, mitigating risks associated with fraudulent or poorly designed tokens. Rug-Check-MCP integrates seamlessly through standard MCP client-server architecture, enhancing the safety and reliability of AI-driven interactions within the Solana ecosystem. By providing this crucial layer of security, it empowers developers to build more trustworthy and robust AI applications.

Solana Token Risk Assessment

The core function of rug-check-mcp is to evaluate the risk associated with Solana meme tokens by analyzing on-chain data and providing a risk score. It leverages the Solsniffer API to retrieve comprehensive token data, including the token's name, symbol, market capitalization, price, and supply. The system then assesses various risk factors, categorizing them into high, moderate, and low-risk levels. These risk factors include mintable risks, freeze risks, ownership concentration, liquidity concerns, and contract deployment age. By aggregating these factors, rug-check-mcp generates a Snif score, ranging from 0 to 100, which serves as an overall indicator of the token's risk profile. This allows AI agents to quickly gauge the safety of a token before engaging in any transactions or recommendations. For example, an AI agent tasked with identifying promising new meme tokens could use rug-check-mcp to filter out tokens with high-risk scores, focusing instead on those with a lower risk profile.

Detailed Risk Factor Analysis

rug-check-mcp provides a detailed breakdown of the specific risk factors associated with a Solana token. This goes beyond a simple risk score by offering insights into the underlying reasons for the assessment. The system identifies and categorizes risks into high, moderate, and low levels, providing a count and description of each. For example, high-risk factors might include the ability to mint or freeze tokens, indicating potential control by the token creators. Moderate risks could involve low liquidity provider counts, suggesting potential price manipulation. Low risks might include recent contract deployment, which, while not inherently dangerous, warrants closer scrutiny. This granular analysis allows AI agents to make more informed decisions by understanding the specific vulnerabilities of a token. For instance, an AI agent could use this information to advise users on the specific risks associated with holding a particular token, such as the potential for the token supply to be inflated due to minting capabilities.

Audit Status Verification

In addition to risk factor analysis, rug-check-mcp verifies the audit status of Solana tokens, focusing on key security measures. It checks whether minting and freezing functionalities are disabled, whether the liquidity pool (LP) tokens have been burned, and whether a significant portion of the token supply is held by the top 10 holders. These checks provide a quick overview of the token's security and decentralization. Disabling minting and freezing prevents the token creators from arbitrarily increasing the supply or freezing user accounts. Burning LP tokens ensures that the liquidity pool cannot be drained by the creators. Monitoring the distribution of tokens among the top holders helps assess the level of centralization. For example, rug-check-mcp can identify tokens where minting is still enabled, alerting AI agents to the increased risk of holding those tokens. This information is crucial for AI agents that need to assess the long-term viability and security of Solana meme tokens.

Integration with Solsniffer API

rug-check-mcp leverages the Solsniffer API to gather real-time data on Solana tokens. This integration allows the system to access a wide range of information, including token metadata, market data, and risk assessments. The Solsniffer API provides a comprehensive and up-to-date view of the Solana token ecosystem, enabling rug-check-mcp to provide accurate and timely risk assessments. The API integration also allows for easy updates and improvements to the risk assessment algorithms, ensuring that rug-check-mcp remains effective in detecting emerging threats. For example, as new rug-pull techniques are developed, the Solsniffer API can be updated to detect these techniques, and rug-check-mcp can then incorporate these updates into its risk assessment process. This ensures that AI agents using rug-check-mcp are always protected against the latest threats.