Jinshuju / 金数据 MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Jinshuju / 金数据 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Jinshuju / 金数据, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Jinshuju / 金数据 MCP Server
Empower your AI agent to orchestrate your data collection workflows with Jinshuju (金数据), the premier online form builder in China. By connecting Jinshuju to your agent, you transform complex form management, entry auditing, and lead collection into a natural conversation. Your agent can instantly list your forms, retrieve detailed submission data, create new entries programmatically, and even monitor webhook configurations without you ever needing to navigate the comprehensive web interface. Whether you are managing customer surveys or automated registration flows, your agent acts as a real-time data coordinator, keeping your information accurate and your responses organized.
The Vercel AI SDK gives every Jinshuju / 金数据 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
- Form Orchestration — List all forms and retrieve detailed structures, field definitions, and settings.
- Entry Management — List, view, create, and update form submissions with full field support.
- Data Auditing — Retrieve real-time entry counts and monitor submission velocity for your forms.
- Webhook Control — Browse and monitor configured webhooks to ensure your data pipelines are healthy.
- Workflow Integration — Programmatically submit or modify entries to bridge your AI workflows with form data.
The Jinshuju / 金数据 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 Jinshuju / 金数据 to Vercel AI SDK via MCP
Follow these steps to integrate the Jinshuju / 金数据 MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Jinshuju / 金数据 and passes them to the LLM
Why Use Vercel AI SDK with the Jinshuju / 金数据 MCP Server
Vercel AI SDK provides unique advantages when paired with Jinshuju / 金数据 through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Jinshuju / 金数据 integration everywhere
Built-in streaming UI primitives let you display Jinshuju / 金数据 tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Jinshuju / 金数据 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Jinshuju / 金数据 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Jinshuju / 金数据 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Jinshuju / 金数据 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Jinshuju / 金数据 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Jinshuju / 金数据 through natural language queries
Jinshuju / 金数据 MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Jinshuju / 金数据 to Vercel AI SDK via MCP:
create_entry
Submit a new entry
delete_entry
Delete an entry
get_entry
Get entry details
get_entry_count
Get total entry count
get_form
Get form details
get_form_fields
Get form field definitions
list_entries
List form entries
list_forms
List all forms
list_webhooks
List form webhooks
update_entry
Update an entry
Example Prompts for Jinshuju / 金数据 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Jinshuju / 金数据 immediately.
"List all my forms in Jinshuju."
"Show me the last 5 entries for form 'ABC-123'."
"Submit a new entry to form 'XYZ-789' with name 'John Doe' and email 'john@example.com'."
Troubleshooting Jinshuju / 金数据 MCP Server with Vercel AI SDK
Common issues when connecting Jinshuju / 金数据 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJinshuju / 金数据 + Vercel AI SDK FAQ
Common questions about integrating Jinshuju / 金数据 MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Jinshuju / 金数据 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jinshuju / 金数据 to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.