How do I find my Qichacha App Key and Secret?

Log in to the [Qichacha OpenAPI Platform](https://openapi.qcc.com/), go to [Console] -> [My Interfaces], and you will find your unique App Key and Secret Key there.

Is there a limit to the search queries?

The search limits depend on your Qichacha OpenAPI subscription plan. You can use the `get_account_status` tool to check your current balance and usage limits.

Can I check risk information for multiple companies?

Yes. You can use the `list_risks` tool sequentially for different company names to retrieve risk indicators and court cases for each enterprise.

Qichacha / 企查查 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Qichacha / 企查查
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Qichacha / 企查查 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Qichacha / 企查查 Assistant",
            instructions=(
                "You help users interact with Qichacha / 企查查. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Qichacha / 企查查"
        )
        print(result.final_output)

asyncio.run(main())

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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 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 OpenAI Agents SDK auto-discovers all 10 tools from Qichacha / 企查查 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Qichacha / 企查查, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Qichacha / 企查查 MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Qichacha / 企查查

Why Use OpenAI Agents SDK with the Qichacha / 企查查 MCP Server

OpenAI Agents SDK provides unique advantages when paired with Qichacha / 企查查 through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Qichacha / 企查查 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Qichacha / 企查查 MCP Server delivers measurable value.

Automated workflows: build agents that query Qichacha / 企查查, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Qichacha / 企查查, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Qichacha / 企查查 tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Qichacha / 企查查 to resolve tickets, look up records, and update statuses without human intervention

Qichacha / 企查查 MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Qichacha / 企查查 to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Qichacha / 企查查 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Qichacha / 企查查 + OpenAI Agents SDK FAQ

Common questions about integrating Qichacha / 企查查 MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.