Netease Yunxin MCP. Automate Group Moderation and Messaging Flow

This server connects your AI client directly to Netease Yunxin, one of China's massive real-time communication platforms. It gives your agent full operational control over chat infrastructure—you can manage user accounts, moderate groups, and audit message history without ever touching a dashboard or running manual commands. If your job involves automated support, managing large user bases, or tracking complex communications flow, this is what you need.

Account Setup and Maintenance

Your agent handles the full lifecycle of an IM account. You can use create_account to spin up entirely new user identities from scratch. Once an account exists, you'll often need to make tweaks; that's where update_account comes in. It lets your client change details like a display name on an existing profile.

Critically, connections expire, so you can use refresh_user_token to keep any IM account active and prevent connection failures due to token expiry.

Group Creation and Moderation

Building teams is straightforward. You'll start by calling create_team to establish an entirely new chat group structure. Once the team exists, you control who's in it. Use add_team_member to bring a specific user into the existing group roster. When someone needs to be cut loose or leaves the project, you don't have to manually remove them; simply call kick_team_member.

To see exactly who’s in the group and what its current rules are, your agent pulls all that data using get_team_detail.

Sending Targeted Messages

Sending messages is done with precision. If you need to talk to one person privately—a direct chat—you use send_p2p_message. But if you're sending out an alert or a general announcement, you don't want to repeat the message hundreds of times. Instead, your client uses send_batch_message, which fires off the exact same content simultaneously to multiple users across different lists.

Reviewing Communication History and Metadata

For auditing purposes, you have full access to chat logs. You can retrieve complete conversation histories between any two people by calling get_session_history over a specific time range. This is essential for compliance or debugging. Furthermore, when you need context about the groups themselves—the current member list, group settings, etc.—you pull all that structural data with get_team_detail.

You're running a complete communications ops team through simple conversational commands. Your agent handles every step: setting up accounts, managing memberships, sending messages one-by-one or in bulk, and pulling detailed historical logs for review.