Data Collection

rejstr.cz

Queries Czech public company registries, allowing users to search companies by name and retrieve full company profiles by eight-digit IČO.

1 endpoint2 known toolsFirst detected September 13, 2026Last detected September 13, 2026

ENDPOINT 1

https://rejstr.cz/mcp

No auth detected

Capabilities

tools

Server instructions

Prefer IČO for exact subjects. Cite source URLs and data dates. Do not profile natural persons or treat risk flags as proof of fraud.

Search public Czech company records by company name.

Inferred read-only

Fetch one public company profile by eight-digit IČO.

Inferred read-only

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.rejstr-public-register]
url = "https://rejstr.cz/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "rejstr-public-register": {
      "type": "http",
      "url": "https://rejstr.cz/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: rejstr-public-register
Remote MCP URL: https://rejstr.cz/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "rejstr-public-register": {
      "url": "https://rejstr.cz/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "rejstr-public-register": {
      "type": "http",
      "url": "https://rejstr.cz/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "rejstr-public-register",
  "transport": "streamable-http",
  "url": "https://rejstr.cz/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.