NextChat
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
NextChat is a cross-platform AI assistant application that provides a lightweight, fast interface for interacting with multiple large language models including Claude, GPT-4, Gemini Pro, and DeepSeek. It supports MCP (Model Context Protocol) integration when the ENABLE_MCP environment variable is set to true during build. The application can be deployed as a web app, installed on desktop platforms (Windows, macOS, Linux), or downloaded as a mobile app for iOS and Android, offering privacy-first local data storage and one-click deployment options.
Key Features
Use Cases
- 01Building a self-hosted AI chat interface with MCP server integration for extended capabilities
- 02Deploying a privacy-conscious AI assistant that stores conversation data locally in the browser
- 03Creating custom AI workflows using prompt templates and system prompts for repetitive tasks
- 04Accessing multiple LLM providers (OpenAI, Claude, Gemini) through a unified interface
- 05Setting up enterprise AI solutions with brand customization, permission controls, and internal knowledge base integration
- 06Running AI assistants offline or with self-hosted models using RWKV-Runner or LocalAI compatibility
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NextChat — FAQ
What is NextChat and how does it support MCP?+
NextChat is a lightweight, multi-platform AI assistant application that interfaces with various large language models. It supports the Model Context Protocol (MCP) when you set the ENABLE_MCP=true environment variable before building the application, allowing integration with MCP servers to extend its capabilities.
How do I install and deploy NextChat with MCP enabled?+
You can deploy NextChat using Docker by running 'docker run' with the -e ENABLE_MCP=true flag, or deploy to Vercel/Zeabur with one click and configure the ENABLE_MCP environment variable. For local development, set ENABLE_MCP=true in your .env.local file before running 'yarn dev'. Desktop and mobile apps are also available for download.
What API keys or prerequisites are needed?+
At minimum, you need an API key from at least one supported provider (OpenAI, Anthropic Claude, Google Gemini, DeepSeek, etc.). Set the corresponding environment variable (e.g., OPENAI_API_KEY, ANTHROPIC_API_KEY) during deployment. You can also set a CODE variable to password-protect your deployment.
Which AI clients and models does NextChat work with?+
NextChat works with OpenAI GPT models, Anthropic Claude, Google Gemini Pro, DeepSeek, Azure OpenAI, and various Chinese providers (Baidu, ByteDance, Alibaba Cloud, ChatGLM, iFlytek). It also supports self-hosted models through RWKV-Runner and LocalAI for fully private deployments.
Is NextChat free to use?+
NextChat itself is open-source and free under the MIT license. However, you need to provide your own API keys and pay for usage from your chosen AI provider (OpenAI, Anthropic, etc.). There is also a paid SaaS option at nextchat.club and an enterprise edition with additional features.
What platforms does NextChat support?+
NextChat runs on web browsers as a PWA, has native desktop applications for Windows, macOS, and Linux, and offers mobile apps for iOS and Android. All versions support the same core features including MCP integration when enabled.
How do I install NextChat?+
Open the source repository on GitHub and follow its README. NextChat is a mcp server — MCP Agents Market links you directly to the official repo.
Is NextChat free?+
NextChat is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.