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GoPlus Launches AI-Native Web3 Security Layer Integrated with DeepSeek and Claude
On May 30, GoPlus Security’s Official X page revealed GoPlus MCP as a new blockchain security tool. The tool integrates with large language model clients to provide real-time threat detection across multiple blockchains. It functions as a security layer within Web3 platforms without requiring complex manual setups. Systems like AnthropicAI, Claude, and Deepseek AI can access threat data through this server directly. The goal is to assist AI models in identifying honeypots, phishing sites, and malicious addresses. It covers a wide range of networks, including Ethereum, BSC, Polygon, Solana, and Sui.
GoPlus MCP Server Connects AI Clients to Web3 Security Tools
GoPlus MCP Server acts as middleware connecting large language model clients to GoPlus Security intelligence. Clients can request token analysis, risk assessments, and general security evaluations via API calls. The server supports both EVM-compatible and non-EVM networks to maintain broad coverage. More than 40 blockchain networks integrate with the tool, ensuring multi-chain flexibility. This integration allows systems to fetch intelligence on token contracts and wallet safety. Web3 Security teams can implement checks without building separate data pipelines. Users only need valid API credentials and basic server configuration to begin operations.
Key features include token security analysis, malicious address detection, and phishing website checks. Token analysis can detect honeypots, examine liquidity, and measure holder concentration. Malicious address tools flag wallets linked to scams or fraudulent transactions. Phishing checks use a curated database to identify potentially harmful URLs in real time. NFT contract security checks analyze smart contracts for common vulnerabilities and safety issues. Token approval analysis reviews permissions granted by users to track unsafe authorizations. These features aim to strengthen AI security within decentralized applications and services.
Pre-Investment Token Security Checks for Safer Blockchain Finance
Investors can perform pre-investment token security checks before purchasing risky assets. Wallet safety analyses help review addresses for connections to past fraudulent activity. Approval reviews reveal abnormal permissions to prevent unauthorized token transfers. NFT projects benefit from contract security audits to ensure code integrity and trust. Phishing detection reduces risks by blocking access to harmful sites within user flows. Developers can integrate these checks into dApps to improve overall security posture. Each case supports a safer environment across various Web3 ecosystems.
Additional services support malicious address checks and phishing site detection. NFT contract analysis capability Inspects the smart contract code for common issues. Services cover Solana and Sui token security tools for native token checks. Emerging chains like zkSync Era and Linea can also gain support through multi-chain design. The broad API scope lets AI clients access extensive blockchain security data. This coverage ensures flexible integration within diverse Web3 applications worldwide.
Obtaining API Credentials for GoPlus Security Integration
Setup begins by obtaining valid API credentials from GoPlus Security via official channels. Users install the server package using npm and configure environment variables. Configuration requires the input of the API key and the API secret for authentication. After setup, clients can run analyses on token contracts and wallet addresses. Batch processing supports multiple addresses or contracts in a single request. This streamlined flow reduces setup complexity for teams adopting security checks. Documentation provides code examples and troubleshooting guidance for seamless integration.
Growing Demand for AI Security in Blockchain Frameworks
GoPlus MCP Server expands GoPlus’s suite of open-source tools for Web3 Security. API usage requires authentication credentials and may involve fee arrangements with GoPlus Security. Integration into AI tools allows natural language prompts like “Is this address safe?” to execute checks. Users can also ask “Check this contract’s security” to receive immediate analysis data. This trend shows growing demand for integrated AI security within blockchain frameworks. Enhanced transparency and protection features are priorities in modern decentralized environments. The tool marks a step forward for safer interactions across blockchain networks globally.