gomcptest: Proof of Concept for MCP with Custom Host

what is gomcptest? gomcptest is a proof-of-concept project that demonstrates the implementation of a Model Context Protocol (MCP) with a custom-built host that is compatible with OpenAI's API and integrates Google Gemini. how to use gomcptest? To use gomcptest, clone the repository, navigate to the host/openaiserver directory, set the required environment variables, and run the server using Go. key features of gomcptest? OpenAI Compatibility: Mimics the OpenAI v1 chat completion format. Google Gemini Integration: Utilizes VertexAI API for interaction with Gemini models. Streaming Support: Supports streaming responses from the server. Function Calling: Allows external function calls to be incorporated into chat responses. MCP Server Interaction: Demonstrates interaction with a hypothetical MCP server. use cases of gomcptest? Testing and developing applications that require OpenAI-compatible APIs. Integrating Google Gemini models into custom applications. Exploring the functionalities of Model Context Protocols in AI applications. FAQ from gomcptest? Is gomcptest suitable for production use? No, gomcptest is a proof-of-concept and is not intended for production environments. What are the prerequisites for running gomcptest? You need to have Go installed and configured, along with the necessary environment variables set. Can I modify the code? Yes, the code is provided for educational purposes and can be modified as needed.

As an MCP (Model Context Protocol) server, gomcptest: Proof of Concept for MCP with Custom Host enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use gomcptest, clone the repository, navigate to the host/openaiserver directory, set the required environment variables, and run the server using Go. key features of gomcptest? OpenAI Compatibility: Mimics the OpenAI v1 chat completion format. Google Gemini Integration: Utilizes VertexAI API for interaction with Gemini models. Streaming Support: Supports streaming responses from the server. Function Calling: Allows external function calls to be incorporated into chat responses. MCP Server Interaction: Demonstrates interaction with a hypothetical MCP server. use cases of gomcptest? Testing and developing applications that require OpenAI-compatible APIs. Integrating Google Gemini models into custom applications. Exploring the functionalities of Model Context Protocols in AI applications. FAQ from gomcptest? Is gomcptest suitable for production use? No, gomcptest is a proof-of-concept and is not intended for production environments. What are the prerequisites for running gomcptest? You need to have Go installed and configured, along with the necessary environment variables set. Can I modify the code? Yes, the code is provided for educational purposes and can be modified as needed.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.