Netease Yunxin / 网易云信 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Netease Yunxin / 网易云信 through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Netease Yunxin / 网易云信 Agent",
instructions:
"You help users interact with Netease Yunxin / 网易云信 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Netease Yunxin / 网易云信?"
);
console.log(result.text);
}
main();
* 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 / 网易云信 MCP Server
Empower your AI agent to orchestrate your real-time communication infrastructure with Netease Yunxin (网易云信), the premier provider of IM and RTC services in China. By connecting Yunxin to your agent, you transform complex user account management, group/team orchestration, and historical message auditing into a natural conversation. Your agent can instantly create IM accounts, manage chat group memberships, send direct or batch messages, and browse historical sessions without you ever needing to navigate a technical dashboard. Whether you are building an automated community management system or auditing customer interactions, your agent acts as a real-time communication assistant, providing reliable and secure results from a single, unified source.
Mastra's agent abstraction provides a clean separation between LLM logic and Netease Yunxin / 网易云信 tool infrastructure. Connect 10 tools through the 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
- Account Orchestration — Create, update, and refresh tokens for IM users with full support for unique accids.
- Messaging Control — Send direct P2P messages or high-volume batch messages between your user accounts.
- Group/Team Management — Create multi-user teams, add or kick members, and audit team configuration details.
- History Auditing — Retrieve and browse historical messages between users within specific time ranges.
- System Monitoring — Coordinate service status and monitor IM connectivity across your entire application.
The Netease Yunxin / 网易云信 MCP Server exposes 10 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 / 网易云信 to Mastra AI via MCP
Follow these steps to integrate the Netease Yunxin / 网易云信 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Netease Yunxin / 网易云信 via MCP
Why Use Mastra AI with the Netease Yunxin / 网易云信 MCP Server
Mastra AI provides unique advantages when paired with Netease Yunxin / 网易云信 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Netease Yunxin / 网易云信 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Netease Yunxin / 网易云信 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Netease Yunxin / 网易云信 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Netease Yunxin / 网易云信 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Netease Yunxin / 网易云信, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Netease Yunxin / 网易云信 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Netease Yunxin / 网易云信 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Netease Yunxin / 网易云信 tools alongside other MCP servers
Netease Yunxin / 网易云信 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Netease Yunxin / 网易云信 to Mastra AI via MCP:
add_team_member
Add members to team
create_account
Create IM account
create_team
Create chat group/team
get_session_history
Get chat history
get_team_detail
Get team details
kick_team_member
Remove member from team
refresh_user_token
Refresh user IM token
send_batch_message
Send batch messages
send_p2p_message
Send P2P message
update_account
Update IM account
Example Prompts for Netease Yunxin / 网易云信 in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Netease Yunxin / 网易云信 immediately.
"Create a new IM account with accid 'user_8821'."
"Send a message from 'admin' to 'user_8821' saying 'Welcome to the platform!'."
"Create a chat team 'Project Alpha' with owner 'admin' and members 'user_01,user_02'."
Troubleshooting Netease Yunxin / 网易云信 MCP Server with Mastra AI
Common issues when connecting Netease Yunxin / 网易云信 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpNetease Yunxin / 网易云信 + Mastra AI FAQ
Common questions about integrating Netease Yunxin / 网易云信 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect Netease Yunxin / 网易云信 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.