MCP Web UI
MCP Web UI provides a user-friendly platform for interacting with multiple LLM providers, managing chat sessions, and handling context using MCP protocols. It supports real-time streaming, flexible model configuration, persistent chat history, and multi-provider integration, making AI interactions efficient and customizable.
Added on:
Created by:
Apr 17 2025
MCP Web UI provides a user-friendly platform for interacting with multiple LLM providers, managing chat sessions, and handling context using MCP protocols. It supports real-time streaming, flexible model configuration, persistent chat history, and multi-provider integration, making AI interactions efficient and customizable.
Added on:
Created by:
Apr 17 2025
Gerard Adam
Featured
What is MCP Web UI?
MCP Web UI is a comprehensive web application that acts as a host within the MCP architecture, facilitating interaction with various Large Language Models like OpenAI, Anthropic, Ollama, and OpenRouter. It offers an intuitive interface for users to engage in streaming conversations, configure models dynamically, and manage context efficiently. The system supports real-time response streaming via Server-Sent Events, persistent chat history storage, and multi-provider integration, making it suitable for developers, researchers, and AI enthusiasts seeking seamless LLM interaction and context management in a unified platform.
Who will use MCP Web UI?
- AI developers
- Researcher and data scientists
- Chatbot creators
- Enterprise AI teams
- LaaS platform providers
How to use the MCP Web UI?
- Step 1: Clone the repository from GitHub.
- Step 2: Configure environment variables and API keys for desired LLMs.
- Step 3: Set up the configuration file (`config.yaml`) as needed.
- Step 4: Run the application locally using Go or deploy via Docker.
- Step 5: Access the web UI through the local server URL and start interactively managing models and conversations.
MCP Web UI's Core Features & Benefits
The Core Features
- Multi-provider LLM integration
- Real-time streaming chat
- Dynamic model configuration
- Persistent chat history with BoltDB
- Robust context aggregation using MCP protocol
- Custom server-side MCP server setup
The Benefits
- Simplifies multi-LLM interactions in a single interface
- Enables real-time, streaming responses for natural conversations
- Supports flexible, provider-specific model configurations
- Maintains persistent chat history for context continuity
- Provides a scalable and customizable platform for AI application development
MCP Web UI's Main Use Cases & Applications
- Building interactive AI chatbots for customer support
- Research experiments involving context-aware language models
- Integrating multiple LLM providers in a unified UI
- Developing custom AI solutions with persistent conversation history
- Prototyping LLM-based applications for enterprise use
FAQs of MCP Web UI
Developer
- MegaGrindStone
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