# Multi - model

A simple server project that interacts with AI models of OpenAI and Claude as a master control program (MCP), providing a unified API interface and automatic provider detection function.

The StrawHat AI development repository provides a complete solution for building local and online AI development environments, including various tools such as the Ollama backend, Open - WebUI frontend, and Claude desktop proxy, supporting rapid deployment and development of AI applications.

An MCP server implementation integrating the Perplexity AI API, providing advanced search functions and multi - model support.

An MCP server based on TypeScript that implements a memory system for LLMs, supports multi - provider chatting, and maintains conversation history.

HiveChat is an AI chat application designed for small and medium - sized teams. It supports multiple large - model service providers and provides functions such as group management, Token limits, and third - party login.

J.A.R.V.I.S. is an intelligent code assistant based on multi - model support, providing functions such as code generation, modification, and technical discussions, and supporting multiple file formats and real - time collaboration.

The DeepMyst MCP Server is an intelligent LLM optimization and routing service that provides efficient model selection and token optimization functions for Claude Desktop and HTTP clients, supporting multiple transport methods and multi - LLM provider integration.

An advanced reasoning and reflection tool based on the Gemini API, supporting multi - model integration and custom configuration

The Unichat MCP Server is a Python server that supports sending requests to multiple AI providers such as OpenAI and MistralAI via the MCP protocol, providing preset prompt functions such as code review and document generation.

The ConsultingAgents MCP Server is a multi - model consulting agent server that provides four AI expert consulting services (Darren, Sonny, Sergey, Gemma) for Claude Code through the MCP protocol, supporting code analysis, document search, and repository - level development planning.

An MCP server implementation compatible with the OpenAI DALL - E API, supporting multiple large models and image - generation APIs, and providing convenient development and debugging tools.

OtterBridge is a lightweight MCP server used to connect applications with multiple large language model providers, supporting models such as Ollama, with a simple and flexible design.