Llm Bridge
Enables seamless integration with various Large Language Models (LLMs) through a model-agnostic Message Control Protocol (MCP) server.
About
LLM Bridge MCP provides a standardized interface for AI agents to interact with multiple large language models. By leveraging the Message Control Protocol (MCP), it simplifies access to different LLM providers, allowing for easy switching between models or the utilization of multiple models within the same application. This facilitates the creation of more versatile and adaptable AI-powered solutions.
Key Features
- Built with Pydantic AI for type safety and validation.
- 3 GitHub stars
- Supports customizable parameters like temperature and max tokens.
- Provides a unified interface to multiple LLM providers (OpenAI, Anthropic, Google, DeepSeek).
- Provides usage tracking and metrics.
Use Cases
- Standardizing LLM interactions across different AI agents.
- Integrating multiple LLMs into a single application for enhanced performance or redundancy.
- Easily switching between LLMs based on cost, availability, or performance.
Sponsored