GoPlus Security MCP Server
Enables blockchain security analysis using GoPlus Security API, providing rug pull detection, phishing site detection, NFT security analysis, and token security assessment across 14+ blockchain networks. Supports comprehensive security analysis for addresses, tokens, and smart contracts through natural language queries.
README
GoPlus Security MCP Server
A Model Context Protocol (MCP) server that provides blockchain security analysis tools using the GoPlus Security API.
Features
This MCP server provides the following security analysis tools:
###Security Analysis Tools
- Rug Pull Detection - Analyze token contracts for potential rug pull risks
- Phishing Site Detection - Check if websites are known phishing sites
- NFT Security Analysis - Analyze NFT contract security
- Solana Token Security - Get Solana token security information
- Address Security Analysis - Analyze blockchain address security and reputation
- Token Security Analysis - Comprehensive token security analysis
🌐 Supported Blockchains
- Ethereum Mainnet (chain_id: "1")
- Binance Smart Chain (chain_id: "56")
- Polygon (chain_id: "137")
- Arbitrum One (chain_id: "42161")
- Optimism (chain_id: "10")
- Avalanche C-Chain (chain_id: "43114")
- Fantom (chain_id: "250")
- Aurora (chain_id: "1313161554")
- Cronos (chain_id: "25")
- Gnosis (chain_id: "100")
- Heco (chain_id: "128")
- Klaytn (chain_id: "8217")
- Moonbeam (chain_id: "1284")
- Moonriver (chain_id: "1285")
Configuration
API Key Setup
IMPORTANT: You need a GoPlus Security API key to use this server.
- Get API Key: Visit GoPlus Security and sign up for an API key
- For Testing: Use the API key in MCP Inspector or test scripts
- For Production: Configure through Smithery platform
Session Configuration
The server requires a GoPlus Security API key for authentication. Configure it through the session configuration:
- api_key: Your GoPlus Security API key (required)
- base_url: Base URL for the API (default: "https://api.gopluslabs.io/api/v1/")
- timeout: Request timeout in seconds (default: 30, range: 5-300)
Usage Examples
Rug Pull Detection
rug_pull_detection(chain_id="1", address="0x6B175474E89094C44Da98b954EedeAC495271d0F")
Phishing Site Detection
phishing_site_detection(url="https://example.com")
NFT Security Analysis
nft_security_analysis(chain_id="1", address="0x82f5ef9ddc3d231962ba57a9c2ebb307dc8d26c2")
Address Security Analysis
address_security_analysis(address="0xc8b759860149542a98a3eb57c14aadf59d6d89b9")
Development
Prerequisites
- Python >= 3.10
- uv package manager
- GoPlus Security API key
Running the Server
-
Development mode:
uv run dev -
Interactive playground:
uv run playground -
Production mode:
uv run start
Project Structure
goplus-mcp/
├── src/
│ └── goplus_security_server/
│ ├── __init__.py
│ └── server.py # Original Smithery server implementation
├── main.py # Main Docker entry point
├── Dockerfile # Docker container configuration
├── pyproject.toml # Project configuration
├── smithery.yaml # Smithery deployment config
└── README.md # This file
API Reference
Tools
rug_pull_detection(chain_id: str, address: str) -> str
Detect potential rug pull risks for a token contract.
Parameters:
chain_id: Blockchain chain ID (e.g., "1" for Ethereum)address: Token contract address to analyze
phishing_site_detection(url: str) -> str
Check if a website is a known phishing site.
Parameters:
url: Website URL to check for phishing risks
nft_security_analysis(chain_id: str, address: str) -> str
Analyze NFT contract security.
Parameters:
chain_id: Blockchain chain IDaddress: NFT contract address to analyze
solana_token_security() -> str
Get Solana token security information.
address_security_analysis(address: str) -> str
Analyze address security and reputation.
Parameters:
address: Blockchain address to analyze
token_security_analysis(chain_id: str, address: str) -> str
Comprehensive token security analysis.
Parameters:
chain_id: Blockchain chain IDaddress: Token contract address to analyze
Resources
goplus://api-docs
API documentation and usage examples.
goplus://supported-chains
List of supported blockchain networks.
Deployment
This server is designed to work with Smithery for easy deployment and management.
- Push your code to a GitHub repository
- Connect your repository to Smithery
- Deploy with one click
License
This project is licensed under the MIT License.
Support
For issues and questions:
- GoPlus Security API: https://gopluslabs.io
- MCP Documentation: https://modelcontextprotocol.io
- Smithery: https://smithery.ai
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.