mcp-tw-gpss
Verified Safeby hsiangjenli
Overview
An AI-ready Model Context Protocol (MCP) server for searching patents in the Global Patent Search System (GPSS).
Installation
docker run -i --rm -e USER_CODE=your_api_code_here mcp-tw-gpss:latestEnvironment Variables
- USER_CODE
Security Notes
The server correctly retrieves the `USER_CODE` for API authentication from environment variables, preventing hardcoded secrets. It makes external HTTP requests to the GPSS API, which is inherent to its function. While Pydantic schemas provide input validation for the tool's parameters, the handling of `keywords` for potential injection into the external GPSS API relies on the GPSS API's own sanitization, which is a common pattern for API wrappers but an external dependency for security.
Similar Servers
enterprise_mcp_server
Provides a robust, multi-component Model Context Protocol (MCP) solution with an API Gateway for routing and management, an Enterprise MCP Server for core services like authentication and tool administration, and a Tool Server for operational tool execution, designed for integration with clients like Cursor and Claude Code.
python-mcp-template
A DevOps-friendly template for building Multi-Agent Communication Protocol (MCP) servers using FastAPI and fastmcp.
mcp_server_template
A template for building Model Context Protocol (MCP) servers, providing a robust foundation with best practices, Docker support, and example API implementations for AI agent integration.
aduib-mcp-server-template
A FastAPI-based MCP (Model Context Protocol) server template designed for hosting AI/ML tools, resources, and prompts, featuring API key authentication, Redis caching, database integration (SQLAlchemy), and optional Nacos service discovery.