HiveChat MCP Server

Most team communication work still happens through a UI a human drives. HiveChat MCP server moves it into the conversation instead. An AI chat bot for small and medium-sized teams, supporting models such as Deepseek, Open AI, Claude, and Gemini. 专为中小团队设计的 AI 聊天应用，支持 Deepseek、Open AI、Claude、Gemini 等模型。.

The short version

1. 克隆本项目到本地 git clone https://github.com/HiveNexus/hivechat.git

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

The tools it exposes

The server publishes 2 tools. What each one is for:

• Email — admin@demo.com
• Password — helloHivechat

What it needs from you

Configuration is passed through the environment: DATABASE_URL, AUTH_SECRET, NEXTAUTH_URL, FEISHU_CLIENT_ID, FEISHU_CLIENT_SECRET, WECOM_CLIENT_ID, WECOM_AGENT_ID, WECOM_CLIENT_SECRET. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

Plenty of team communication servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. HiveChat's toolset — Email, Password — is a fair guide to whether it matches your workflow. It is maintained by HiveNexus; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.