HiveChat MCP Server

What is HiveChat?

HiveChat is an AI chat application designed for small and medium teams. It supports multiple large language models such as Deepseek, OpenAI, Claude, and Gemini, and allows configuring MCP servers via SSE mode. The application provides both an end-user chat interface and an admin panel for team management.

How to use HiveChat?

End users simply log in and start chatting. For administrators, the application requires installing dependencies (npm install), configuring a .env file with a PostgreSQL database URL and authentication secrets, initializing the database (npm run initdb), and then building and starting the server. Alternatively, it can be deployed via Docker or on Vercel with a one-click button. After deployment, the admin sets up the first admin account by visiting /setup.

Key features of HiveChat

• Admins configure models once for the whole team
• Supports email, WeCom, DingTalk, and Feishu login
• Group-based user management with per-group model access and monthly token limits
• DeepSeek chain-of-thought display, LaTeX/Markdown rendering, image understanding
• AI agents and cloud data storage
• Supports 14+ model providers plus custom OpenAI-style providers

Use cases of HiveChat

• Small companies or schools providing a unified AI chat interface for team members
• Teams needing centralized control of model access and token consumption per group
• Organizations that require third-party login integration (WeCom, DingTalk, Feishu) for authentication
• Deploying an on-premises AI chat solution with MCP server connectivity