Rug Check MCP

Overview

The Rug‑Check-MCP server equips AI assistants with the ability to vet Solana meme tokens for potential rug‑pull risks. By tapping into the Solsniffer API, it gathers comprehensive on‑chain data and distills it into a structured risk profile that agents can instantly consume. This capability is crucial for developers building investment bots, portfolio managers, or compliance tools that need to filter unsafe tokens before exposure.

At its core, the server exposes a single tool—. When supplied with a Solana token address, it retrieves key metrics such as market capitalization, current price, total supply, and the Solsniffer risk score. More importantly, it aggregates a detailed risk breakdown across high, moderate, and low categories, highlighting issues like mintability, freeze status, significant wallet ownership, liquidity concerns, and audit markers. The output also flags whether critical controls (mint/freeze disabled) are in place, providing a quick sanity check for token security.

Developers can embed this MCP into AI workflows by calling from prompts. For example, an assistant can ask for a token’s risk assessment and receive a ready‑to‑display JSON dictionary. This eliminates manual API calls, allowing agents to perform real‑time due diligence within conversational contexts or automated scripts. The structured output also facilitates downstream processing—such as filtering tokens below a certain risk threshold or flagging those that require human review.

Key use cases include:

• Investment Bots: Automatically screen newly listed tokens, ensuring only those meeting safety criteria are added to a trading strategy.
• Compliance Audits: Generate risk reports for portfolio holdings, aiding regulatory reporting and internal governance.
• Education Platforms: Provide learners with instant feedback on token safety, reinforcing best practices in DeFi research.
• Marketplace Moderation: Vet tokens before listing them on a secondary marketplace, protecting users from malicious projects.

What sets Rug‑Check-MCP apart is its tight integration with the Solsniffer ecosystem, delivering up‑to‑date on‑chain insights without exposing raw API calls to the end user. The server’s minimal interface—just one tool and a clear, typed response schema—makes it straightforward to incorporate into existing MCP‑compatible clients like Claude Desktop or Smithery. As the Solana ecosystem grows, having an AI‑driven risk assessment layer becomes increasingly valuable for developers who need to balance speed with security.