Update roadmap.mdx

docs/roadmap.mdx

@@ -14,17 +14,18 @@ At Open WebUI, we're committed to continually enhancing our platform to provide
 
 Our roadmap for interface innovations aims to create a highly intuitive and accessible platform. These will not only improves user satisfaction but also enhance productivity by reducing the cognitive load on users.
 
+- 🔗 **ReACT Tool Calling Support**: The platform will implement ReACT (Reasoning + Acting) for on-the-fly tool function calling, enabling models to dynamically interact with external tools in real-time during conversations. This advanced capability will make workflows more interactive and efficient, streamlining problem-solving within the ecosystem.  
 
-- 🔧 **Streamlined Fine-tune Support**: Open WebUI will offer a seamless fine-tuning process by allowing users to automatically build a fine-tune dataset simply by using the interface and rating the responses. We will provide Python notebooks to help preprocess your dataset, making it ready for fine-tuning directly from the notebook. This approach will be super simple and elegantly integrates fine-tuning into user workflows.
+- 📜 **MCP (Model Context Protocol) Tools Support**: Introducing support for the MCP framework to establish seamless communication and context tracking across interconnected AI systems and modules. This ensures that context is preserved, workflows are maintained, and tools function cohesively, reducing the need for manual intervention or reinitialization.  
 
-- 📈 **Advanced User Tracking and Cost Management Tools**: Users will gain access to comprehensive tools designed for tracking application performance and user activities, as well as managing costs effectively. These tools will empower users with the data they need to make informed decisions, improve user experiences, and maintain budget control, optimizing the use of resources across their AI applications.
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-- 💬 **"Channels" Feature**: Channels will function like Discord/Slack chat rooms, facilitating real-time collaboration among users and AIs. These dedicated communication spaces can host human-to-human interactions or AI-assisted discussions, fostering dynamic and context-driven collaboration. As we transition towards multi-agent and proactive agent workflows, true asynchronous communication will be essential, and Open WebUI will provide a Bot SDK tutorial to empower users in building proactive AI agents that can initiate conversations and integrate seamlessly into the platform.
+- 📦 **Packaged Single Binary Executable**: Simplifying deployment and ensuring compatibility across different platforms, we aim to offer our interface as a single binary executable. This approach will facilitate effortless installation and updates, significantly enhancing usability for all users, especially those with limited technical expertise.
 
 - 👤 **User Page**: A personal User Page feature where users can create posts. The functionality will also include features like followers, likes, and comments. This allows users to effectively share their model configurations, prompts, and files with a broader community, creating a richer, more connected ecosystem around the platform.
 
 - 📝 **AI Powered Notes**: Inspired by tools like Notion and Obsidian, we plan to introduce a robust note-taking feature that includes AI integration. From simple note-taking to full-fledged document creation, this tool will offer a seamless experience, all locally integrated within the platform.
 
+- 📈 **Advanced User Tracking and Cost Management Tools**: Users will gain access to comprehensive tools designed for tracking application performance and user activities, as well as managing costs effectively. These tools will empower users with the data they need to make informed decisions, improve user experiences, and maintain budget control, optimizing the use of resources across their AI applications.
+
 - 🧠 **AI Workflow Tool**: A node-based tool to orchestrate and compose multiple aspects of AI systems. This tool will allow users to visually connect different AI modules and services, creating complex workflows with ease. It's designed to empower users to harness the full potential of AI without needing deep technical knowledge in AI programming.
 
 - 🔊 **Local Text-to-Speech Integration**: This feature will allow natural language processing to convert text into lifelike spoken audio, thus making the platform more accessible, especially for visually impaired users. This integration helps in consuming information without screen interaction, facilitating multitasking and improving user engagement.
@@ -35,7 +36,8 @@ Our roadmap for interface innovations aims to create a highly intuitive and acce
 
 - 🤖 **Code Interpreter Function**: A flexible code interpreter embedded into the platform can support multiple programming languages, which reduces the dependency on external tools and streamlines the development process, increasing efficiency.
 
-- 📦 **Packaged Single Binary Executable**: Simplifying deployment and ensuring compatibility across different platforms, we aim to offer our interface as a single binary executable. This approach will facilitate effortless installation and updates, significantly enhancing usability for all users, especially those with limited technical expertise.
+- 🔧 **Streamlined Fine-tune Support**: Open WebUI will offer a seamless fine-tuning process by allowing users to automatically build a fine-tune dataset simply by using the interface and rating the responses. We will provide Python notebooks to help preprocess your dataset, making it ready for fine-tuning directly from the notebook. This approach will be super simple and elegantly integrates fine-tuning into user workflows.
+
 
 ## Information Retrieval (RAG) 📚