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 Pydantic AI 10 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Qichacha / 企查查 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Qichacha / 企查查 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Qichacha / 企查查?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every Qichacha / 企查查 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Qichacha / 企查查 MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Qichacha / 企查查 with type-safe schemas

Why Use Pydantic AI with the Qichacha / 企查查 MCP Server

Pydantic AI provides unique advantages when paired with Qichacha / 企查查 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Qichacha / 企查查 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Qichacha / 企查查 connection logic from agent behavior for testable, maintainable code

Qichacha / 企查查 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Qichacha / 企查查 MCP Server delivers measurable value.

Type-safe data pipelines: query Qichacha / 企查查 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Qichacha / 企查查 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Qichacha / 企查查 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Qichacha / 企查查 responses and write comprehensive agent tests

Qichacha / 企查查 MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Qichacha / 企查查 to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Qichacha / 企查查 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Qichacha / 企查查 + Pydantic AI FAQ

Common questions about integrating Qichacha / 企查查 MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Qichacha / 企查查 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.