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Netease Yunxin IM MCP Server for Mastra AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Netease Yunxin IM through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "netease-yunxin-im": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Netease Yunxin IM Agent",
    instructions:
      "You help users interact with Netease Yunxin IM " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Netease Yunxin IM?"
  );
  console.log(result.text);
}

main();
Netease Yunxin IM
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Netease Yunxin IM MCP Server

Connect your LLMs directly to Netease Yunxin (网易云信), the prominent IM API platform supporting massive concurrency arrays in Asia. This MCP encapsulates 11 advanced tools giving your agents administration rights to manipulate chat rooms, govern users, and push automatic webhook notifications seamlessly.

Mastra's agent abstraction provides a clean separation between LLM logic and Netease Yunxin IM tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Chatroom Moderation — Let agents automatically mute misbehaving members out of massive chatrooms based on context
  • Identity Operations — Ask the agent to block or generate users directly into your application cluster
  • Broadcasting & Support — The LLM can send custom payload JSON objects or standard text messages to mobile peers seamlessly, without writing server-side REST configurations

The Netease Yunxin IM MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Netease Yunxin IM to Mastra AI via MCP

Follow these steps to integrate the Netease Yunxin IM MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 11 tools from Netease Yunxin IM via MCP

Why Use Mastra AI with the Netease Yunxin IM MCP Server

Mastra AI provides unique advantages when paired with Netease Yunxin IM through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Netease Yunxin IM without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Netease Yunxin IM tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Netease Yunxin IM + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Netease Yunxin IM MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Netease Yunxin IM, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Netease Yunxin IM as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Netease Yunxin IM on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Netease Yunxin IM tools alongside other MCP servers

Netease Yunxin IM MCP Tools for Mastra AI (11)

These 11 tools become available when you connect Netease Yunxin IM to Mastra AI via MCP:

01

block_im_user

Block an IM User network

02

create_chatroom

Create a massive chatroom

03

create_im_user

Create an IM User

04

destroy_chatroom

Destroy a massive chatroom

05

get_chatroom_members

Get Chatroom active members

06

mute_chatroom_member

Mute a chatroom member

07

recall_message

Recall a sent message

08

send_custom_message

Send a Custom Payload Message

09

send_text_message

Send a P2P Text Message

10

unblock_im_user

Unblock an IM user

11

update_im_user

Update an IM User profile

Example Prompts for Netease Yunxin IM in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Netease Yunxin IM immediately.

01

"Mute the user 'spammer01' who is publishing spam in the chatroom '198273'. I am the operator 'admin01'."

02

"Send a text message saying 'Welcome back' from 'systemBot' to user 'john_doe'."

Troubleshooting Netease Yunxin IM MCP Server with Mastra AI

Common issues when connecting Netease Yunxin IM to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Netease Yunxin IM + Mastra AI FAQ

Common questions about integrating Netease Yunxin IM MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Netease Yunxin IM to Mastra AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.