旷湖企业大数据服务MCP

What is 旷湖企业大数据服务MCP?

旷湖企业大数据服务MCP is a Model Context Protocol (MCP) server built on 旷湖's massive enterprise data, providing a comprehensive enterprise information query and analysis platform covering business registration, risk analysis, intellectual property, geographic distribution, operational insights, and more. It is designed for developers and analysts who need programmatic access to structured, multi-dimensional enterprise data.

How to use 旷湖企业大数据服务MCP?

Clone the repository, install dependencies with Python 3.10+ (pip install -r requirements.txt), configure environment variables (INTEGRATOR_ID, SECRET_ID, SECRET_KEY) in a .env file, and start the server by running python server/enterprise_mcp_server.py. It supports both local streamable‑HTTP (default on http://localhost:8000) and stdio transports, and can also be used via the hosted remote service at https://mcp.handaas.com/enterprise/enterprise_profile?token={token}.

Key features of 旷湖企业大数据服务MCP

• Enterprise basic information and profile analysis
• Multi‑dimensional risk assessment and compliance monitoring
• Intellectual property management (trademarks, patents, copyrights)
• Geographic distribution and building occupancy analysis
• Business insight and operational trend analysis
• Industry‑specific services (manufacturing, e‑commerce, exhibitions)

Use cases of 旷湖企业大数据服务MCP

• Query a company’s registration details, stakeholders, and investment relationships
• Assess corporate risk exposure through litigation, credit, and compliance data
• Analyze a company’s patent portfolio and trademark status by category
• Retrieve branch office locations and building‑level occupancy information
• Track bidding, import/export, and policy subsidy records for a business

FAQ from 旷湖企业大数据服务MCP

What environment variables are required?

You must configure INTEGRATOR_ID, SECRET_ID, and SECRET_KEY in the .env file; these credentials are obtained by registering at https://www.handaas.com/.

How do I query a company not found by exact name?

Always first call the fuzzy search endpoint to resolve the canonical full name before using any API that requires an exact enterprise name.

What transport protocols are supported?

The server supports both streamable-http (HTTP streaming) and stdio; you can switch by editing the mcp.run(transport=...) call in the server script.

Are there any pagination or rate limits?

Different services have their own pagination limits – consult the individual service documentation in the readme/ directory for details.

Does the server require internet access?

Yes, the server must be able to reach https://handaas.com to fetch data from 旷湖’s API endpoints.