Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-server-domain-evaluator evaluate brand quality and screen trademark risk for lumora.com"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Model Context Protocol (MCP) server for multi-dimensional domain quality grading, radio test scoring, and trademark risk detection.
evaluate_brand_quality: Grades domain name on pronounceability, memorability, radio test, syllable balance, and visual symmetry.
screen_category_vs_trademark: Runs heuristic checks to distinguish generic category terms from high-risk corporate trademark violations.
Related MCP server: domain-mcp
Add this snippet to your claude_desktop_config.json:
{
"mcpServers": {
"domain-evaluator": {
"command": "npx",
"args": ["-y", "mcp-server-domain-evaluator"]
}
}
}Under MCP Settings, add a new stdio transport:
Command: npx -y mcp-server-domain-evaluator
npm install -g mcp-server-domain-evaluatorOr run directly via stdio:
npx mcp-server-domain-evaluatorMIT License. Developed for the global AI agent and domain ecosystem.
Grades domain name on pronounceability, memorability, radio test, syllable balance, and visual symmetry.
Inputs: domain (required).
Runs heuristic checks to distinguish generic category terms from high-risk corporate trademark violations.
Inputs: term (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 2 tools
The two tools target clearly distinct evaluation dimensions: brand quality heuristics versus category/trademark risk screening. There is no apparent overlap in purpose, so an agent can easily select the correct tool.
Both tool names use a consistent snake_case, verb-first convention: evaluate_brand_quality and screen_category_vs_trademark. The pattern is predictable and readable.
Two tools is thin for a domain evaluator, as it likely needs additional checks such as availability, length, TLD suitability, or SEO considerations. The count is borderline rather than clearly appropriate.
The surface covers brand quality and trademark screening but omits other common domain evaluation operations like availability, extension checks, length scoring, or bulk evaluation. These gaps are notable for the stated server purpose.
Screen expired domains: availability, drop stage, history, brandability, trademark risk.
Screen a brand name against the USPTO federal register — sound, class, live status, risk verdict.
Trademark clearance (USPTO+TMview) and self-graded stock signals for AI agents. JSON verdicts.
AI-powered domain & business name generation with real-time availability checks.