Model Context Protocol
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Manages and standardizes interactions with multiple Large Language Models (LLMs) through a unified interface.
About
This server streamlines the management of diverse Large Language Models (LLMs) by providing a standardized interface. It supports models like DeepSeek and Llama, facilitating seamless switching between them. The server also offers conversation context management and supports various storage backends including memory, Redis, and SQLite.
Key Features
- Integrates multiple LLM models (DeepSeek, Llama)
- Supports various storage backends (memory, Redis, SQLite)
- Manages conversation context
- Provides a standardized API interface
- Enables easy switching and routing between models
- 0 GitHub stars
Use Cases
- Developing LLM-powered chat applications
- Standardizing LLM interaction across different models
- Building multi-model AI services
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