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How to Use the WeCom / 企业微信 MCP in Vercel AI SDK

See WeCom / 企业微信 data appear live in your UI with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect WeCom / 企业微信 MCP to Vercel AI SDK

Create your Vinkius account to connect WeCom / 企业微信 to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Get User Details with the MCP Server

The `get_user` tool fetches specific user records directly from WeCom / 企业微信. You pass a user ID and get their profile details back, which you can use to populate components or display quick info. This means you don't need an extra API call just to check who someone is. The results stream right into your React component, making the whole experience feel instant.

Listing Departments for Vercel AI SDK

Need to show a list of departments? Use `list_departments` to pull all available organizational units in WeCom / 企业微信. It returns a simple array of department names and IDs. This data is perfect for building dropdown menus or filtering user lists within your frontend application. The stream handles the response, so you never deal with empty loading states.

Sending Messages via MCP Server

The `send_message` tool lets you send a text message to any user inside WeCom / 企业微信. You just provide the recipient's ID and the message body. This is useful for building quick notification widgets or support bots right into your UI. The output streams, so when the message goes out, the user sees it appear live.

Setup guide

Set up WeCom / 企业微信 MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all WeCom / 企业微信 tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent WeCom / 企业微信 transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WeCom / 企业微信. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WeCom / 企业微信 MCP in Vercel AI SDK

Use `list_departments` to get all available departments. The MCP Server streams this list, allowing your frontend to build dynamic UI elements instantly without waiting for a single API endpoint call.
Yep. Call `get_attendance_data` to retrieve employee check-in records. The results stream back, letting you display time logs or shift details right in the user's view.
The server touches various data types, including department information (from `get_department`), user details (via `get_user`), and attendance records. All results stream back to your client.
The whole point of Vercel AI SDK is streaming. Instead of waiting for one big payload, you see the results appearing in real time as they stream into your UI.
Absolutely. The `list_tags` tool lets you pull all organization tags, which you can then use in conjunction with `get_tag_users` to filter user groups on your frontend.

Start using the WeCom / 企业微信 MCP today

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