2,500+ MCP servers ready to use
Vinkius

WeCom / 企业微信 MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect WeCom / 企业微信 through the 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: {
      "wecom": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "WeCom / 企业微信 Agent",
    instructions:
      "You help users interact with WeCom / 企业微信 " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with WeCom / 企业微信?"
  );
  console.log(result.text);
}

main();
WeCom / 企业微信
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 WeCom / 企业微信 MCP Server

Empower your AI agent to orchestrate your enterprise operations with WeCom (Enterprise WeChat), the dominant business communication platform in China. By connecting WeCom to your agent, you transform complex organization management and internal communication into a natural conversation. Your agent can instantly list departments, retrieve employee profiles, monitor attendance data, and even send messages to staff members without you needing to navigate the comprehensive WeCom Admin Backend. Whether you are managing a large-scale workforce or a specific internal application, your agent acts as a real-time operations assistant, keeping your data accurate and your team aligned.

Mastra's agent abstraction provides a clean separation between LLM logic and WeCom / 企业微信 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

  • Organization Orchestration — List all departments and retrieve detailed employee profiles across your company.
  • Staff Communication — Send instant text messages to any user in your organization directly through the chat interface.
  • Attendance Monitoring — Retrieve real-time check-in data for employees to audit workforce activity.
  • Tag & Group Management — Browse organization tags and identify users belonging to specific functional groups.
  • Application Insights — Retrieve metadata about your internal apps, including custom menu configurations.

The WeCom / 企业微信 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 WeCom / 企业微信 to Mastra AI via MCP

Follow these steps to integrate the WeCom / 企业微信 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 10 tools from WeCom / 企业微信 via MCP

Why Use Mastra AI with the WeCom / 企业微信 MCP Server

Mastra AI provides unique advantages when paired with WeCom / 企业微信 through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add WeCom / 企业微信 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 WeCom / 企业微信 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

WeCom / 企业微信 + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the WeCom / 企业微信 MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query WeCom / 企业微信, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed WeCom / 企业微信 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 WeCom / 企业微信 on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using WeCom / 企业微信 tools alongside other MCP servers

WeCom / 企业微信 MCP Tools for Mastra AI (10)

These 10 tools become available when you connect WeCom / 企业微信 to Mastra AI via MCP:

01

get_app_details

Get application agent details

02

get_attendance_data

Get employee attendance/checkin data

03

get_department

Get department info

04

get_tag_users

Get users with a specific tag

05

get_user

Get user details

06

list_departments

List all departments

07

list_menu

Get app custom menu

08

list_tags

List all organization tags

09

list_users

List users in a department

10

send_message

Send a text message to a user

Example Prompts for WeCom / 企业微信 in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with WeCom / 企业微信 immediately.

01

"List all departments in our organization."

02

"Send a message to user 'Mario' saying 'The deployment is complete'."

03

"Show me the attendance data for 'mario,renato' from today."

Troubleshooting WeCom / 企业微信 MCP Server with Mastra AI

Common issues when connecting WeCom / 企业微信 to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

WeCom / 企业微信 + Mastra AI FAQ

Common questions about integrating WeCom / 企业微信 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 WeCom / 企业微信 to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.