Python Server
Serves user-specific tools dynamically via a Model Context Protocol (MCP) server, integrating with external APIs for permission-based tool generation.
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This tool implements a Model Context Protocol (MCP) server in Python, leveraging FastMCP to dynamically generate and serve tools. It intelligently fetches user-specific schemas from an external API, creating tailored tools with fields based on individual user permissions. Designed for performance and reliability, it includes features like intelligent caching with TTL for schemas and tools, graceful degradation to static tools if the API is unavailable, comprehensive logging, and thread-safe handling of concurrent requests. This allows for highly customizable and secure tool exposure to various users within a system.
Características Principales
- Graceful Degradation to static tools if the external API becomes unavailable
- Per-User Permissions ensuring tailored tools for each authenticated user
- Intelligent Caching of API schemas and generated tools with TTL for performance
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- Dynamic Tool Generation based on user permissions and external API schemas
- Thread-Safe handling of concurrent requests from multiple users
Casos de Uso
- Integrating AI agents or client applications with backend systems where tool capabilities must adapt to user context
- Providing user-specific forms or request creation tools based on their roles and permissions in an external system
- Building API gateways that expose custom tools with dynamic parameters relevant to individual users
