RegisterÚZ MCP Server

What does “RÚZ Open API” MCP Server do?

The RÚZ Open API MCP Server provides public access to accounting data registered in Slovakia via the registeruz.sk portal, making it available in a machine-readable JSON format. Designed to connect AI assistants and developers with the Register účtovných závierok (Register of Financial Statements), it streamlines access to up-to-date, structured data on accounting entities, their statements, and related metadata. This server facilitates programmatic queries for listing entities, retrieving detailed records, downloading templates, and accessing official code lists. By exposing these resources and services, the RÚZ Open API enables AI-driven workflows for compliance, financial analysis, data integration, and more, supporting real-time data access, incremental updates, and standardized financial data retrieval.

List of Resources

• Zoznam identifikátorov (ID List)
  • Provides a list of identifiers for different data types (e.g., accounting entities, statements) for further detail queries.
• Detaily entity (Entity Details)
  • Returns detailed attributes of a given entity by its identifier.
• Číselníky (Code Lists/Registers)
  • Exposes official code lists sourced from the Statistical Office of the Slovak Republic (ŠÚSR) for consistent referencing.
• Šablóny účtovných výkazov (Report Templates)
  • Supplies templates for various financial reports to standardize data submission and analysis.

Use Cases of this MCP Server

• Automated Financial Statement Retrieval
  • Developers and analysts can programmatically access up-to-date financial statements for Slovak companies, supporting audits, due diligence, or credit risk analysis.
• Accounting Entity Monitoring
  • Enables real-time or scheduled checks for updates/changes in specific accounting entities, ensuring timely awareness of new filings or corrections.
• Integration into AI Compliance Workflows
  • AI assistants can use the API to enrich compliance checks or KYC (Know Your Customer) processes with official financial data.
• Code List Synchronization
  • Standardizes reference data across systems by programmatically updating code lists used in financial reporting or data integration.
• Incremental Data Harvesting
  • Supports efficient data warehousing or ETL processes by enabling incremental downloads based on last-modified dates.

How to set it up

Windsurf

1. Ensure Node.js and your development environment are set up.
2. Locate your Windsurf configuration file.
3. Add the RÚZ Open API MCP Server using the following JSON snippet:

   {
     "mcpServers": {
       "ruz-open-api": {
         "command": "npx",
         "args": ["@ruz/mcp-server@latest"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify connection by accessing the MCP server endpoint.

Claude

1. Set up prerequisites (e.g., Node.js).
2. Open the Claude MCP configuration file.
3. Insert the following under the mcpServers section:

   {
     "mcpServers": {
       "ruz-open-api": {
         "command": "npx",
         "args": ["@ruz/mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Claude.
5. Confirm MCP server availability.

Cursor

1. Prepare your development environment with required dependencies.
2. Edit the Cursor configuration file.
3. Add the RÚZ Open API MCP server configuration:

   {
     "mcpServers": {
       "ruz-open-api": {
         "command": "npx",
         "args": ["@ruz/mcp-server@latest"]
       }
     }
   }
   

4. Save changes and restart Cursor.
5. Test the MCP integration.

Cline

1. Ensure all prerequisites (Node.js, etc.) are installed.
2. Find and open the Cline configuration file.
3. Add the following MCP server entry:

   {
     "mcpServers": {
       "ruz-open-api": {
         "command": "npx",
         "args": ["@ruz/mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Validate the MCP server is running.

Securing API Keys

(Not mentioned in the documentation; section left blank.)

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "ruz-open-api": {
    "transport": "streamable_http",
    "url": "https://www.registeruz.sk/cruz-public/home/api"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “ruz-open-api” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion:
This MCP is well-documented for its API resources but lacks tool definitions, prompt templates, and details about securing API keys or sampling/roots. It’s a strong data source but less a ready-to-use LLM integration without further MCP-side development.

MCP Score

RÚZ Open API MCP Score: 4/10
While the data access capabilities are robust, the server lacks MCP-specific features like tool definitions, sampling, and roots support, and has no clear licensing or open-source signals. This restricts its out-of-the-box AI workflow utility.