LOTUS-MCP
Overview
What is LOTUS-MCP?
LOTUS-MCP is an open-source solution that integrates two AI models, Mistral and Gemini, into a modernized Model Context Protocol (MCP) for enhanced performance and interoperability.
How to use LOTUS-MCP?
To use LOTUS-MCP, developers can follow a step-by-step guide to build a unified MCP system that connects external tools and data sources with AI models, allowing for seamless processing of requests.
Key features of LOTUS-MCP?
- Unified interface for multiple AI models
- Context sharing across different AI systems
- Tool reusability with common connectors
- Cost optimization through smart routing
- Automatic fallback support between models
Use cases of LOTUS-MCP?
- Integrating AI models for enhanced data processing
- Developing custom protocols for specific business needs
- Creating a unified interface for AI-driven applications
FAQ from LOTUS-MCP?
- Is LOTUS-MCP free to use?
Yes! LOTUS-MCP is a free and open-source software solution.
- What AI models does LOTUS-MCP support?
LOTUS-MCP currently supports Mistral and Gemini models.
- How can I contribute to LOTUS-MCP?
Contributions are welcome! You can contribute by submitting issues or pull requests on the GitHub repository.
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