CereBro is a versatile MCP client-server framework designed for .Net and Unity platforms. It enables seamless integration of different AI models, including support for OpenAI and planned models like Claude and Gemini, facilitating development of AI-driven applications with minimal code changes.
CereBro is a versatile MCP client-server framework designed for .Net and Unity platforms. It enables seamless integration of different AI models, including support for OpenAI and planned models like Claude and Gemini, facilitating development of AI-driven applications with minimal code changes.
CereBro serves as a model-agnostic MCP (Model-Client Protocol) Client-Server framework, primarily targeting .Net and Unity environments. It enables developers to connect to various AI models through configurable servers, supporting the creation of AI-powered applications with flexible back-end integrations. Its key features include support for multiple AI models, a protocol for server configuration through JSON files, and a simplified API for deployment. With CereBro, users can easily connect to cloud-based or local AI servers, manage conversations, and extend support for new models by implementing custom clients. It’s ideal for building scalable AI tools, research projects, and interactive applications that leverage the latest advancements in AI technology.
Who will use CereBro?
Developers building AI applications in .Net or Unity
AI researchers testing multiple models
Game developers integrating AI features
Organizations needing flexible AI integrations
How to use the CereBro?
Step 1: Create a servers.json configuration file with server details
Step 2: Set your OpenAI API key in environment variables
Step 3: Initialize CereBro in your Program.cs with server config and API key
Step 4: Run your application using 'dotnet run' and start interacting with the AI models
CereBro's Core Features & Benefits
The Core Features
Support for multiple AI models including OpenAI
Configurable server setup through JSON files
Support for .Net and Unity platforms
Extensible architecture for custom models
Protocol for model-agnostic communication
The Benefits
Flexible integration of various AI models
Easy configuration and deployment
Supports cross-platform development
Extensible for future models
Simplifies AI application development
CereBro's Main Use Cases & Applications
Building AI-powered chatbots in .Net and Unity
Research and testing of different AI models
Developing interactive AI-driven game features
Creating scalable AI toolkits for enterprise use
FAQs of CereBro
What platforms does CereBro support?
Can I add new AI models to CereBro?
How do I configure servers in CereBro?
Is CereBro compatible with OpenAI models?
How do I set up CereBro in my project?
Can CereBro handle multiple models simultaneously?