LLM Bridge MCP

Example Use Cases

• 1

  Switch seamlessly between different language model providers like OpenAI and Google.

• 2

  A consistent interface to interact with multiple LLMs across various applications.

• 3

  Customizable outputs from language models, controlling parameters like temperature and max tokens.

Description

LLM Bridge MCP facilitates seamless interaction with various large language models using a standardized interface, leveraging the Message Control Protocol (MCP). It supports multiple providers including OpenAI, Anthropic, and Google, allowing easy switching or simultaneous use of different models. The server is built with Pydantic AI for enhanced type safety and allows customization of parameters like temperature and max tokens.