ARES MCP Server

What does ARES MCP Server do?

The ARES MCP Server is a Model Context Protocol (MCP) server that provides seamless access to the Czech ARES (Administrativní registr ekonomických subjektů) API, which serves as the official business registry of the Czech Republic. This server allows AI assistants to interact programmatically with business data from ARES, enabling workflows such as searching for companies by name, retrieving detailed company information by IČO (company ID), validating company IDs, and searching within specific registries. By integrating with external systems and exposing these functionalities through the MCP protocol, the ARES MCP Server streamlines tasks related to business registry queries and enhances developer productivity, especially for those building AI agents, automations, or business intelligence tools that require up-to-date Czech company data.

List of Tools

Use Cases of this MCP Server

• Business Data Lookup: Easily search and retrieve up-to-date information about Czech companies for due diligence, onboarding, or research.
• Company Validation: Automate workflows that require validation of company IČO numbers to ensure data integrity.
• Registry Exploration: Enable AI agents to search specific registries, such as trade or public registries, helping with legal or compliance checks.
• Filtered Business Analysis: Use advanced filters (legal form, CZ-NACE codes, etc.) to generate targeted business intelligence reports or market research.
• Integration into AI Workflows: Enhance AI assistants, chatbots, or RPA bots with real-time access to Czech business registry data for process automation.

How to set it up

Windsurf

1. Ensure Python 3.8+ and pip are installed.
2. Clone the repository:

   git clone https://github.com/vzeman/ares-mcp-server.git
   cd ares-mcp-server
   pip install -e .
   

3. Open your Windsurf configuration file.
4. Add the ARES MCP Server to your mcpServers config section:

   {
     "mcpServers": {
       "ares": {
         "command": "python3",
         "args": ["-m", "ares_mcp_server.server"],
         "cwd": "/path/to/ares-mcp-server"
       }
     }
   }
   

5. Save and restart Windsurf to apply the changes.

Claude

1. Install Python 3.8+ and pip.
2. Clone and install the server:

   git clone https://github.com/vzeman/ares-mcp-server.git
   cd ares-mcp-server
   pip install -e .
   

3. Edit the Claude Desktop configuration file.
4. Insert the following JSON:

   {
     "mcpServers": {
       "ares": {
         "command": "python3",
         "args": ["-m", "ares_mcp_server.server"],
         "cwd": "/path/to/ares-mcp-server"
       }
     }
   }
   

5. Restart Claude Desktop.

Cursor

1. Make sure Python 3.8+ and pip are installed.
2. Clone and set up the server:

   git clone https://github.com/vzeman/ares-mcp-server.git
   cd ares-mcp-server
   pip install -e .
   

3. Open the Cursor configuration.
4. Add the server:

   {
     "mcpServers": {
       "ares": {
         "command": "python3",
         "args": ["-m", "ares_mcp_server.server"],
         "cwd": "/path/to/ares-mcp-server"
       }
     }
   }
   

5. Save and restart Cursor.

Cline

1. Ensure you have Python 3.8+ and pip.
2. Set up the server:

   git clone https://github.com/vzeman/ares-mcp-server.git
   cd ares-mcp-server
   pip install -e .
   

3. Edit Cline’s configuration file.
4. Add the following:

   {
     "mcpServers": {
       "ares": {
         "command": "python3",
         "args": ["-m", "ares_mcp_server.server"],
         "cwd": "/path/to/ares-mcp-server"
       }
     }
   }
   

5. Save and restart Cline.

Securing API Keys

If authentication or API keys are needed, follow this pattern in your config:

{
  "mcpServers": {
    "ares": {
      "command": "python3",
      "args": ["-m", "ares_mcp_server.server"],
      "cwd": "/path/to/ares-mcp-server",
      "env": {
        "API_KEY": "${API_KEY}"
      },
      "inputs": {
        "api_key": "${API_KEY}"
      }
    }
  }
}

Replace "API_KEY" with your actual environment variable name as needed.

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:

  "ares": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }

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 "ares" to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion:
The ARES MCP Server provides a clear, useful implementation for accessing Czech business registry data, and its documentation covers setup and available features well. However, the lack of explicit prompt templates, resource listings, and advanced MCP features (roots, sampling) limits its extensibility for more complex agentic workflows.

MCP Score

Overall rating: 6/10 (Solid focused implementation and documentation, but lacking extensibility and community traction.)