Basic Architecture
Createdrezawr
Enables language models to access external tools and resources through a standardized Model Context Protocol interface.
About
This Python-based tool provides a clean and modular implementation of a Model Context Protocol (MCP) server, designed with a focus on maintainability, extensibility, and ease of debugging. It allows Language Models (LLMs) to seamlessly interact with external resources and tools through a standardized interface. The architecture promotes modularity, making it easy to add new tools and resources without modifying existing code, enhancing overall scalability and testability.
Key Features
- Modular architecture for easy maintenance
- Clear directory structure for organization
- Extensible design for adding new tools and resources
- Configuration settings managed in a central location
- Standardized Model Context Protocol (MCP) interface
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Use Cases
- Connecting LLMs to external APIs
- Providing LLMs access to real-time data
- Integrating LLMs with custom tools and applications