Qichacha / 企查查 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 Qichacha / 企查查 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 Qichacha / 企查查, 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 Qichacha / 企查查 MCP Server
Empower your AI agent to orchestrate your business intelligence and due diligence with Qichacha (企查查), the premier enterprise data platform in China. By connecting Qichacha to your agent, you transform complex industrial research, ownership auditing, and risk monitoring into a natural conversation. Your agent can instantly search for companies, retrieve detailed registration metadata, browse shareholder structures, and monitor industrial abnormalities without you ever needing to navigate the comprehensive Qichacha portal. Whether you are conducting B2B lead research or auditing potential partners, your agent acts as a real-time business intelligence assistant, keeping your data accurate and your decisions informed.
The Vercel AI SDK gives every Qichacha / 企查查 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
- Enterprise Orchestration — Fuzzy search for companies and retrieve detailed basic and industrial metadata.
- Ownership Auditing — Browse shareholder lists and outward investments to identify corporate structures.
- Personnel Monitoring — List main staff and executives to identify key decision-makers within an enterprise.
- Risk Management — Retrieve risk indicators, court cases, and industrial abnormalities for any registered company.
- IP Tracking — Browse registered trademarks, patents, and copyrights to audit intellectual property assets.
The Qichacha / 企查查 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 Qichacha / 企查查 to Vercel AI SDK via MCP
Follow these steps to integrate the Qichacha / 企查查 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 Qichacha / 企查查 and passes them to the LLM
Why Use Vercel AI SDK with the Qichacha / 企查查 MCP Server
Vercel AI SDK provides unique advantages when paired with Qichacha / 企查查 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 Qichacha / 企查查 integration everywhere
Built-in streaming UI primitives let you display Qichacha / 企查查 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
Qichacha / 企查查 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Qichacha / 企查查 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Qichacha / 企查查 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Qichacha / 企查查 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Qichacha / 企查查 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Qichacha / 企查查 through natural language queries
Qichacha / 企查查 MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Qichacha / 企查查 to Vercel AI SDK via MCP:
fuzzy_search
Enterprise fuzzy search
get_account_status
Get OpenAPI account status
get_basic_info
Get enterprise basic info
get_full_details
Get full enterprise details
list_branches
List company branches
list_investments
List outward investments
list_ip
List intellectual property
list_risks
List enterprise risk info
list_shareholders
List company shareholders
list_staff
List main staff/executives
Example Prompts for Qichacha / 企查查 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Qichacha / 企查查 immediately.
"Search for companies named 'Xiaomi' in Qichacha."
"Show me the shareholder structure for 'Tencent'."
"Check for any risk information regarding 'Ant Group'."
Troubleshooting Qichacha / 企查查 MCP Server with Vercel AI SDK
Common issues when connecting Qichacha / 企查查 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpQichacha / 企查查 + Vercel AI SDK FAQ
Common questions about integrating Qichacha / 企查查 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 Qichacha / 企查查 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 Qichacha / 企查查 to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.