WeCom / 企业微信 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 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.
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: {
"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();
* 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.
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add WeCom / 企业微信 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 WeCom / 企业微信 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
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.
Automated workflows: build multi-step agents that query WeCom / 企业微信, process results, and trigger downstream actions in a typed pipeline
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
Background jobs: schedule Mastra agents to query WeCom / 企业微信 on a cron and store results in your database automatically
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:
get_app_details
Get application agent details
get_attendance_data
Get employee attendance/checkin data
get_department
Get department info
get_tag_users
Get users with a specific tag
get_user
Get user details
list_departments
List all departments
list_menu
Get app custom menu
list_tags
List all organization tags
list_users
List users in a department
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.
"List all departments in our organization."
"Send a message to user 'Mario' saying 'The deployment is complete'."
"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.
createMCPClient not exported
npm install @mastra/mcpWeCom / 企业微信 + Mastra AI FAQ
Common questions about integrating WeCom / 企业微信 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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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
