UBOS Asset Marketplace: Powering Data-Driven Decisions with MCP Servers

In today’s fiercely competitive business landscape, making informed decisions is paramount. Access to comprehensive and reliable data can be the difference between success and stagnation. That’s where the UBOS Asset Marketplace’s MCP (Model Context Protocol) Server comes in. It’s not just a tool; it’s a strategic asset designed to unlock the full potential of enterprise data, providing unparalleled insights for smarter, faster, and more confident decision-making.

What is an MCP Server?

At its core, an MCP Server acts as a bridge, seamlessly connecting Large Language Models (LLMs) with external data sources and tools. This integration is pivotal because LLMs, while powerful in natural language processing, often lack real-time data and specific domain knowledge. The MCP Server addresses this gap by providing the necessary context for AI models to generate more accurate, relevant, and actionable insights. MCP itself is an open protocol standardizing how applications provide context to LLMs, ensuring interoperability and ease of integration.

Why Choose UBOS Asset Marketplace for Your MCP Server Needs?

The UBOS Asset Marketplace offers a curated selection of MCP Servers specifically designed to enhance your AI-driven applications. Here’s why you should consider UBOS:

• Seamless Integration: UBOS is a full-stack AI Agent development platform. Our MCP Servers integrate flawlessly with the UBOS platform, allowing you to easily incorporate them into your existing AI workflows.
• Verified Quality: Every asset in the UBOS Marketplace undergoes rigorous testing and verification to ensure reliability and performance. You can trust that the MCP Server you choose will deliver accurate and consistent results.
• Simplified Deployment: UBOS simplifies the deployment process, enabling you to quickly integrate MCP Servers into your infrastructure without complex configurations.
• Extensive Selection: The UBOS Marketplace provides a diverse range of MCP Servers tailored to various industries and use cases. Whether you need financial data, market research, or scientific information, you’ll find an MCP Server to meet your specific requirements.

Use Cases: Transforming Data into Actionable Insights

The MCP Server within the UBOS Asset Marketplace empowers businesses across various industries to leverage data for strategic advantage. Here are some compelling use cases:

• Market Research & Competitive Analysis:
  • Challenge: Understanding market trends, identifying competitors, and analyzing their strategies can be time-consuming and resource-intensive.
  • Solution: The MCP Server enables AI models to access and analyze vast amounts of market data, providing insights into market size, growth rates, customer preferences, and competitor activities. This allows businesses to make informed decisions about product development, pricing, and marketing strategies.
  • Example: Use the query_company_data function to analyze market share by province and visualize the data on a map, revealing regional strengths and weaknesses.
• Risk Management & Compliance:
  • Challenge: Identifying and mitigating potential risks, such as financial instability, legal issues, or reputational damage, is crucial for business sustainability.
  • Solution: The MCP Server facilitates access to risk assessment data, enabling AI models to identify potential threats, assess their impact, and recommend mitigation strategies. This helps businesses proactively manage risks and ensure compliance with regulations.
  • Example: Utilize the search_company_risk function to identify potential risks associated with a specific company, including legal disputes, financial difficulties, and negative press coverage.
• Sales & Lead Generation:
  • Challenge: Identifying and qualifying potential leads can be a time-consuming and inefficient process.
  • Solution: The MCP Server allows AI models to access and analyze customer data, identifying potential leads based on demographics, industry, and purchasing behavior. This enables sales teams to focus their efforts on high-potential prospects, increasing conversion rates and revenue.
  • Example: Employ the search_established_companies function to identify newly established businesses in a specific region, representing potential new customers.
• Investment Analysis & Due Diligence:
  • Challenge: Evaluating investment opportunities and conducting thorough due diligence can be complex and time-sensitive.
  • Solution: The MCP Server provides access to financial data, market research, and company information, enabling AI models to assess investment risks and potential returns. This helps investors make informed decisions and maximize their investment performance.
  • Example: Use the get_company_investment function to analyze the investment portfolio of a company and assess its diversification and risk profile.
• Supply Chain Optimization:
  • Challenge: Managing complex supply chains, ensuring timely delivery, and mitigating disruptions can be challenging.
  • Solution: The MCP Server enables AI models to access and analyze supply chain data, identifying potential bottlenecks, predicting delays, and optimizing logistics. This helps businesses improve efficiency, reduce costs, and enhance customer satisfaction.

Key Features of the MCP Server for Enterprise Data

The MCP Server offered within the UBOS Asset Marketplace comes equipped with a suite of powerful features designed to empower data-driven decision-making:

• Comprehensive Data Access: Access a wide range of enterprise data, including company profiles, financial statements, market research reports, and more.
• Real-Time Updates: Ensure that your AI models are always working with the latest information, enabling you to make timely decisions.
• Advanced Analytics: Leverage built-in analytics tools to extract meaningful insights from your data.
• Customizable Queries: Tailor your data requests to meet your specific needs, ensuring that you get the information you need, when you need it.
• Secure Data Handling: Protect your sensitive data with robust security measures, ensuring compliance with industry regulations.
• Integration with UBOS Platform: Seamlessly integrate with other UBOS AI Agent platform components for a comprehensive AI solution.

Deep Dive into MCP Server Tools

The MCP Server is equipped with a powerful set of tools designed to extract and analyze business data effectively. Here’s a detailed look at some of the key functionalities:

• query_company_data:

  • Functionality: This tool allows users to ask natural language questions about companies and receive statistical answers. It can also visualize the data in various formats such as maps, line charts, bar charts, and pie charts.
  • Parameters:
    • question (string): A description of the question, for example, “Statistics of companies established in each province of China in 2024, visualized as a map.”
  • Use Case: Analyzing the geographic distribution of new businesses across China to identify emerging economic hubs.

• search_established_companies:

  • Functionality: This tool queries and counts companies established within a specified time frame.
  • Parameters:
    • province (string): The province, e.g., Shanghai, Xinjiang, Jiangsu. Use None to search across the entire country.
    • city (string): The city, e.g., Hangzhou, Suzhou.
    • district (string): The district, including the full name (e.g., Kunshan City, Pudong New Area).
    • establish_date (string): The establishment date range, formatted as yyyy-mm-dd@yyyy-mm-dd. For example, 2023-01-12@ represents companies established on or after January 12, 2023. @2023-11-11 represents companies established before November 11, 2023. Use None to search for companies established at any time.
  • Use Case: Identifying potential new partners or customers by searching for companies established in a specific region within the last year.

• search_established_selfemployed:

  • Functionality: Similar to search_established_companies, but specifically for querying and counting self-employed businesses.
  • Parameters: Same as search_established_companies.
  • Use Case: Tracking the growth of entrepreneurship in a specific region.

• search_companies:

  • Functionality: This tool searches and counts companies based on their location and status.
  • Parameters:
    • province (string): The province.
    • city (string): The city.
    • district (string): The district.
    • company_status (string): The company’s status, which can be set to “Normal”, “Abnormal”, “Operating”, “Existing”, “In Business”, “Revoked”, “Cancelled”, “Moved In”, “Moved Out”, “Withdrawn”, “Liquidated”, “Suspended”, or “Other”. Note that “Normal” includes companies that are Operating, Existing, In Business, Moved In, or Moved Out, while “Abnormal” includes companies that are Revoked or Cancelled.
  • Use Case: Identifying potential acquisition targets by searching for companies in a specific industry and location that are currently in operation.

• search_selfemployed:

  • Functionality: Similar to search_companies, but specifically for querying and counting self-employed businesses.
  • Parameters: Same as search_companies.
  • Use Case: Understanding the competitive landscape for small businesses in a specific area.

• get_company_info:

  • Functionality: This tool retrieves basic information (face information) about a company.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Gathering essential details about a company for initial assessment.

• get_company_partner:

  • Functionality: This tool retrieves shareholder information for a company.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Identifying key stakeholders in a company for partnership or investment opportunities.

• get_stie_score:

  • Functionality: This tool evaluates a company’s scientific and technological innovation capabilities.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Assessing the technological prowess of a company for potential collaboration.

• search_company_risk:

  • Functionality: This tool queries risk information about a company, including its own risks, surrounding risks, and warning information.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Performing due diligence to identify potential legal or financial risks before engaging with a company.

• get_company_honor:

  • Functionality: This tool queries the honors and awards received by a company.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Evaluating the reputation and achievements of a company.

• get_company_contact:

  • Functionality: This tool queries the contact information of a company.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Obtaining contact details for outreach and communication.

• get_company_investment:

  • Functionality: This tool queries the investment information of a company.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Analyzing the investment strategy and portfolio of a company.

• get_company_cert:

  • Functionality: This tool queries the qualification certificates of a company.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Verifying the legitimacy and compliance of a company.

• get_person_related_company:

  • Functionality: This tool queries the related companies of a person based on the company name and person name, including companies where they serve as legal representatives, shareholders, directors, supervisors, or senior managers.
  • Parameters:
    • company_name (string): The name of the company.
    • person_name (string): The name of the person.
  • Use Case: Identifying potential conflicts of interest or hidden affiliations.

• get_company_controller:

  • Functionality: This tool queries the actual controller of a company.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Understanding the ultimate control and decision-making power within a company.

• get_company_benificalowner:

  • Functionality: This tool queries the beneficial owners of a company.
  • Parameters:
    • company_name (string): The name of the company.
  • Use Case: Identifying individuals who ultimately benefit from the company, even if they are not directly involved in its management.

Example Scenarios with Cursor:

Here are some practical examples of how you can use the MCP Server with Cursor:

1. **“Show me a map of all provinces in China, highlighting the number of companies in each province.” (Utilizes query_company_data for national-level visualization)
2. **“How many new businesses were established in Shanghai yesterday?” (Uses search_established_companies with specific date parameters)
3. **“Can you find the contact information for [Company Name]?” (Leverages get_company_contact for direct outreach)
4. **“I need to assess the risks associated with [Company Name]. Can you provide a detailed risk assessment report?” (Applies search_company_risk for due diligence)
5. **“What are the credentials and certifications held by [Company Name]?” (Employs get_company_cert for compliance checks)
6. **“Compile a comprehensive report on the innovation capabilities of [Company Name].” (Uses get_stie_score to assess technological strength)

Installation and Deployment

The UBOS Asset Marketplace provides flexible deployment options to suit your specific needs:

SSE (Server-Sent Events) Version

• Deployment: Cloud-based, accessible via https://mcp.shuidi.cn/sse.
• Installation:
  1. Open the MCP window in Cursor settings.
  2. Click “Add new global MCP Server” and edit mcp.json.
  3. Configure Cursor with the following JSON:

{ “DataMcpServer”: { “url”: “http://mcp.shuidi.cn/sse” } }

STDIO Version

• Deployment: Local deployment for enhanced security and control.
• Installation:
  1. Use uv (no specific installation needed).
  2. Run uv src/mcp_server.py.
  3. Open the MCP window in Cursor settings.
  4. Click “Add new global MCP Server” and edit mcp.json.
  5. Configure Cursor with the following JSON:

{ “DataMcpServer”: { “command”: “uv”, “args”: [ “–directory”, “{workdir}”, “run”, “src/mcp_server.py” ], “env”: { “shuidi_pname”: “–your shuidi_pname–”, “shuidi_pkey”: “–your shuidi_pkey–” } } }

• Notes:
  • workdir represents the working directory.
  • shuidi_pname and shuidi_pkey are required and can be obtained from the Shuidi website. Free test accounts are available.
    • Example shuidi_pname: 2025041486173046
    • Example shuidi_pkey: 3303b6a7e64ac0b18b5f17aafde52c71

UBOS: Your Full-Stack AI Agent Development Platform

UBOS is a comprehensive platform designed to empower businesses with AI Agents across all departments. Our platform offers the tools and infrastructure you need to orchestrate AI Agents, connect them to your enterprise data, build custom AI Agents with your LLM model, and create sophisticated Multi-Agent Systems.

With UBOS and the MCP Server from the Asset Marketplace, you’re not just accessing data; you’re unlocking the power of intelligent, data-driven decision-making.