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Shimo Docs MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Shimo Docs through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Shimo Docs, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Shimo Docs
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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 Shimo Docs MCP Server

Empower your AI agent to orchestrate your collaborative workflow with Shimo Docs, the leading professional office suite in China. By connecting Shimo Docs to your agent, you transform complex document management and team collaboration into a natural conversation. Your agent can instantly list your files, create new collaborative documents, import external content, and even export your work into multiple formats without you ever needing to navigate the web interface. Whether you are managing complex project documentation or financial spreadsheets, your agent acts as a real-time collaborative assistant, keeping your files organized and your team aligned.

The Vercel AI SDK gives every Shimo Docs tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Document Orchestration — List all accessible documents, sheets, and presentations across your workspace.
  • File Management — Create, retrieve, and delete files with full support for collaborative metadata.
  • Import & Export — Seamlessly import external content and export Shimo documents into standard formats like docx and pdf.
  • Folder Organization — Browse folder structures and manage file locations efficiently.
  • Administrative Insights — List organization users and monitor audit logs for security and compliance.

The Shimo Docs MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK 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 Shimo Docs to Vercel AI SDK via MCP

Follow these steps to integrate the Shimo Docs MCP Server with Vercel AI SDK.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

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

04

Explore tools

The SDK discovers 10 tools from Shimo Docs and passes them to the LLM

Why Use Vercel AI SDK with the Shimo Docs MCP Server

Vercel AI SDK provides unique advantages when paired with Shimo Docs through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Shimo Docs integration everywhere

03

Built-in streaming UI primitives let you display Shimo Docs tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Shimo Docs + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Shimo Docs MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Shimo Docs in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Shimo Docs tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Shimo Docs capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Shimo Docs through natural language queries

Shimo Docs MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Shimo Docs to Vercel AI SDK via MCP:

01

create_file

Create a new Shimo file

02

export_file

Export a Shimo file

03

get_file

Get file details

04

get_folder_content

Get folder contents

05

get_org_info

Get organization details

06

import_file

Import a document into Shimo

07

list_audit_logs

List audit logs

08

list_files

List all Shimo files

09

list_folders

List all Shimo folders

10

list_users

List organization users

Example Prompts for Shimo Docs in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Shimo Docs immediately.

01

"List all my collaborative documents on Shimo."

02

"Create a new spreadsheet titled 'Q2 Expenses' in folder 'Finance'."

03

"Export the document 'Project Roadmap' to PDF."

Troubleshooting Shimo Docs MCP Server with Vercel AI SDK

Common issues when connecting Shimo Docs to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Shimo Docs + Vercel AI SDK FAQ

Common questions about integrating Shimo Docs MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Shimo Docs to Vercel AI SDK

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