About China Business MCP Server
China Business MCP Server lets AI assistants query basic registration details for companies registered in China. It returns structured results from a company-name lookup and requires an API key from a business data provider.
Key features
- 01Look up companies by registered Chinese name
- 02Retrieve registration and legal representative details
- 03Return structured company information
Use cases
- 01Check basic registration details for a Chinese company
- 02Retrieve a company’s legal representative and registered capital
MCP support
Provides the `query_company` tool to MCP clients. The tool accepts a registered company name in Chinese and returns company information.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEChina Business MCP Server
A Model Context Protocol (MCP) server that provides Chinese business registration data queries. Allows AI assistants to look up basic company information registered in China.
Features
- Query Chinese company basic information (registration number, legal representative, registered capital, etc.)
- Return structured data in a format AI can process
Installation
Prerequisites
China Business MCP Server
A Model Context Protocol (MCP) server that provides Chinese business registration data queries. Allows AI assistants to look up basic company information registered in China.
Features
- Query Chinese company basic information (registration number, legal representative, registered capital, etc.)
-
- Return structured data in a format AI can process
-
Installation
-
Prerequisites
-
- Node.js 18+
-
- A valid API key from a Chinese business data provider (e.g., Tianyancha, Qichacha)
-
Setup
-
-
Clone the repository:
-
git clone https://github.com/Dnovalab/china-business-mcp.git cd china-business-mcp-
Install dependencies:
-
npm install-
Create a
.envfile: -
cp .env.example .env-
Add your API key to
.env: -
API_KEY=your_api_key_here API_BASE_URL=https://api.example.comUsage with Claude Desktop
Add to your
claude_desktop_config.json:{ "mcpServers": { "china-business": { "command": "node", "args": ["path/to/china-business-mcp/index.js"], "env": { "API_KEY": "your_api_key_here", "API_BASE_URL": "https://api.example.com" } } } }Available Tools
query_companyQuery Chinese company information by company name.
Parameters:
-
companyName(string): The registered company name in Chinese -
Example:
-
{ "companyName": "阿里巴巴集团控股有限公司" }Commercial Use
For API key and commercial access:
- Monthly subscription: $9.99/month
-
- Send payment to: paypal.me/duanjianan
-
- After payment, email [email protected] with your transaction ID
-
- You'll receive your API key and setup instructions within 24 hours
-
License
- MIT
-
- Node.js 18+
-
-
-
-
-
- A valid API key from a Chinese business data provider (e.g., Tianyancha, Qichacha)
Setup
- Clone the repository:
git clone https://github.com/novalab/china-business-mcp.git
cd china-business-mcp
- Install dependencies:
npm install
- Create a
.envfile:
cp .env.example .env
- Add your API key to
.env:
API_KEY=your_api_key_here
API_BASE_URL=https://api.example.com
Usage with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"china-business": {
"command": "node",
"args": ["path/to/china-business-mcp/index.js"],
"env": {
"API_KEY": "your_api_key_here",
"API_BASE_URL": "https://api.example.com"
}
}
}
}
Available Tools
query_company
Query Chinese company information by company name.
Parameters:
companyName(string): The registered company name in Chinese
Example:
{
"companyName": "阿里巴巴集团控股有限公司"
}
Development
npm run dev
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.