Integration · 5 min read
Brand Verification Inside OpenClaw: Setup, Automations, and Recipes
March 11, 2026
OpenClaw is an open-source AI agent with 247K+ GitHub stars that runs on messaging platforms like Signal, Telegram, and Discord. It supports MCP natively — which means Brandomica’s 12 brand safety tools work inside OpenClaw without any code changes. This article covers setup, automation recipes, and why messaging-based brand verification matters.
Why messaging matters for brand names
Brand naming happens in conversations. Founders brainstorm in Slack, cofounders debate in Signal, teams shortlist in Discord. By the time someone opens a browser to check availability, the momentum is already lost. OpenClaw puts brand verification inside the conversation where names are born.
Instead of context-switching to a browser, you type a name in your chat and get a safety assessment in seconds. The generate–verify–iterate pattern happens naturally in the flow of conversation.
Setup: two options
Option 1: MCP config — add to your openclaw.json:
{
"mcpServers": {
"brandomica": {
"command": "npx",
"args": ["brandomica-mcp-server"]
}
}
}Option 2: ClaWHub skill — one command:
Both methods give OpenClaw access to all 12 Brandomica tools. No API keys required.
Automation recipes
OpenClaw can build skills autonomously. Here are practical workflows you can set up with natural language:
Brainstorm & validate loop
“Generate 10 brand names for a developer tool, then batch-check all of them and show me the top 3 safest options.”
OpenClaw generates candidates, calls brandomica_batch_check on all of them, filters by safety score, and presents results — all in one message thread.
Filing readiness gate
“Before I register any domain, always run filing readiness first and warn me if the verdict is ‘blocked’.”
OpenClaw creates a persistent skill that intercepts domain registration intent and runs brandomica_filing_readiness as a safety gate. If the verdict is “blocked” or “caution”, it surfaces the top conflicts before you proceed.
Competitor monitoring
“Every Monday, check if anyone has registered domains or trademarks similar to ‘myproduct’ and alert me if anything changed.”
OpenClaw schedules weekly calls to brandomica_assess_safety and compares results against the previous run. Changes in risk level or new trademark filings trigger an alert in your chat.
Domain shopping assistant
“Find all available domains for ‘nexlayer’ and tell me the cheapest option with 3-year total cost.”
Calls brandomica_check_domains and formats the response with Year 1, renewal, and TCO pricing for each available TLD.
What tools are available
Once connected, OpenClaw has access to the full Brandomica MCP server toolset:
Plus 6 individual check tools for domains, social, trademarks, Google, app stores, and SaaS/registries.
Token efficiency
Brandomica returns structured JSON, not web page scrapes. This matters for token costs in OpenClaw workflows. A full check_all response is ~2K tokens. A assess_safety response is ~400 tokens. Compare that to scraping 6 domain registrars, 5 social platforms, and 2 trademark databases manually — that would cost 50K+ tokens.
For batch workflows (checking 10+ names), use batch_check with mode: "quick" to keep costs minimal, then run full checks only on the top candidates.
Getting started
- Install OpenClaw (github.com/openclaw/openclaw)
- Add Brandomica to your config or run clawhub install brandomica
- Ask OpenClaw: “Check if ‘myname’ is safe to use as a brand”
No API keys. No signup. No paywall. The MCP server connects to the public Brandomica API at brandomica.com.