RAT MCP Server (Retrieval Augmented Thinking)
🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.
What is RAT MCP Server (Retrieval Augmented Thinking)?
what is RAT MCP Server? RAT MCP Server (Retrieval Augmented Thinking) is a server that implements a two-stage reasoning process, combining DeepSeek's reasoning capabilities with various response models like GPT-4 and Claude, while maintaining conversation context. how to use RAT MCP Server? To use the RAT MCP Server, clone the repository, install dependencies, configure your API keys in a .env file, and build the server. You can then integrate it with Cline for generating responses. key features of RAT MCP Server? Two-stage processing using DeepSeek for reasoning and multiple models for response generation. Maintains conversation context and history. Supports various models including Claude and OpenRouter models. use cases of RAT MCP Server? Enhancing AI responses through structured reasoning. Providing context-aware answers in conversational AI applications. Integrating with development tools for AI-assisted coding. FAQ from RAT MCP Server? What models does RAT MCP Server support? It supports DeepSeek, Claude, and any OpenRouter models like GPT-4. Is there a license for RAT MCP Server? Yes, it is released under the MIT License. How do I maintain conversation context? The server automatically maintains conversation history and includes it in the reasoning process.
As an MCP (Model Context Protocol) server, RAT MCP Server (Retrieval Augmented Thinking) enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use RAT MCP Server (Retrieval Augmented Thinking)
To use the RAT MCP Server, clone the repository, install dependencies, configure your API keys in a .env file, and build the server. You can then integrate it with Cline for generating responses. key features of RAT MCP Server? Two-stage processing using DeepSeek for reasoning and multiple models for response generation. Maintains conversation context and history. Supports various models including Claude and OpenRouter models. use cases of RAT MCP Server? Enhancing AI responses through structured reasoning. Providing context-aware answers in conversational AI applications. Integrating with development tools for AI-assisted coding. FAQ from RAT MCP Server? What models does RAT MCP Server support? It supports DeepSeek, Claude, and any OpenRouter models like GPT-4. Is there a license for RAT MCP Server? Yes, it is released under the MIT License. How do I maintain conversation context? The server automatically maintains conversation history and includes it in the reasoning process.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like RAT MCP Server (Retrieval Augmented Thinking) can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like RAT MCP Server (Retrieval Augmented Thinking) provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
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