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Jiandaoyun 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 Jiandaoyun through 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 Jiandaoyun, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Jiandaoyun
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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 Jiandaoyun MCP Server

Empower your AI agent to orchestrate your data workflows with Jiandaoyun, the leading zero-code platform for enterprise applications. By connecting Jiandaoyun to your agent, you transform complex form management and data entry into a natural conversation. Your agent can instantly list your applications, retrieve form schemas, create or update records, and even check workflow statuses without you needing to navigate the web interface. Whether you are managing inventory, HR records, or customer data, your agent acts as a real-time data assistant, keeping your records accurate and your processes moving.

The Vercel AI SDK gives every Jiandaoyun tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through 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

  • Application Management — List all accessible applications and browse the forms within them.
  • Form Operations — Retrieve field schemas and manage data records (create, list, update, delete) with ease.
  • Workflow Tracking — Monitor the current status of workflows for specific form records.
  • Data Insights — Retrieve detailed record information for analysis and decision-making.
  • Team Coordination — Access the organization's address book to manage user-related data.

The Jiandaoyun 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 Jiandaoyun to Vercel AI SDK via MCP

Follow these steps to integrate the Jiandaoyun 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 Jiandaoyun and passes them to the LLM

Why Use Vercel AI SDK with the Jiandaoyun MCP Server

Vercel AI SDK provides unique advantages when paired with Jiandaoyun 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 Jiandaoyun integration everywhere

03

Built-in streaming UI primitives let you display Jiandaoyun 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

Jiandaoyun + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Jiandaoyun MCP Tools for Vercel AI SDK (10)

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

01

create_record

Create a new form record

02

delete_record

Delete a form record

03

get_form_schema

Get form field schema

04

get_record_details

Get record details

05

get_workflow_status

Get record workflow status

06

list_address_book

List organization users

07

list_apps

List all Jiandaoyun applications

08

list_data

List records in a form

09

list_forms

List forms in an application

10

update_record

Update an existing form record

Example Prompts for Jiandaoyun in Vercel AI SDK

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

01

"List all forms in the 'Sales Pipeline' application."

02

"Show me the last 5 records from the 'Inventory' form."

03

"What is the workflow status for record ID 'rec-12345' in the 'Expense Reimbursement' form?"

Troubleshooting Jiandaoyun MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Jiandaoyun + Vercel AI SDK FAQ

Common questions about integrating Jiandaoyun 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 Jiandaoyun to Vercel AI SDK

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