Handaas

This MCP server aggregates diverse enterprise data sources into a single, intelligent querying platform. It helps you understand, analyze, and act on corporate information—from basic company data to risk indicators, IP assets, building footprints, and market insights—so you can make informed business decisions quickly.

How to use

You can access the MCP server through an HTTP-based remote service. Use an MCP client to send queries for the specific data you need, such as company basics, risk indicators, or market insights. The remote service exposes distinct endpoints for each data domain. Start with a simple enterprise profile query to verify connectivity, then expand to risk insights, patents, trademarks, or building information as your use case requires.

How to install

Prerequisites: install Python 3.10 or newer and ensure you have network access to the MCP remote service.

Install required Python packages that support reading environment configuration and making HTTP requests.

Configuration and usage notes

Set up your MCP client configuration to point to the remote MCP service endpoints. You will need a token and credentials obtained from the MCP platform. The configuration should specify the endpoint URL and any required authentication tokens.

Examples and quick start

{
  "mcpServers": {
    "handaas-enterprise-profile-server":{
      "type": "http",
      "url": "https://mcp.handaas.com/enterprise/enterprise_profile?token={token}",
      "args": []
    },
    "handaas-enterprise-risk-server":{
      "type": "http",
      "url": "https://mcp.handaas.com/enterprise/risk_insight?token={token}",
      "args": []
    },
    "handaas-patent-server":{
      "type": "http",
      "url": "https://mcp.handaas.com/patent/patent_bigdata?token={token}",
      "args": []
    }
  }
}

Available tools

enterprise_profile

Fetches basic enterprise information, including registration details, business scope, and organizational data.

enterprise_risk_insight

Provides risk indicators such as illegal records, penalties, abnormal operations, and credit risk signals.

enterprise_operation_insight

Delivers operating insights like performance trends, market standing, and growth indicators.

factory_profile

Gathers factory-level data, including production capabilities and facility details.

factory_channel_insight

Analyzes distribution and channel reach for manufacturing entities.

store_bigdata

Aggregates store-level data and e-commerce footprint for retail brands.

exhibition_bigdata

Tracks exhibition participation history and venue information.

building_bigdata

Provides office addresses, building details, and occupancy insights.

bidding_bigdata

Collects tender and bidding information for competitive analysis.

patent_bigdata

Offers patent data, searches, and technology distribution.

trademark_bigdata

Provides trademark assets, status, and trends analyses.

customs_bigdata

Delivers import/export data, trade partners, and classification insights.

policy_bigdata

Shows government subsidies and policy support information.

qualification_bigdata

Shows industry qualifications and administrative licenses.

estore_bigdata

Gathers online store data and sales analytics for e-commerce brands.

cloudmigration_bigdata

Assesses cloud usage and migration readiness across enterprises.