Connects Claude to domain registrars, the USPTO trademark database (12.7M records), and social platforms like GitHub, Twitter, and Instagram to check name availability. Exposes two main tools: check_name for single lookups and find_names for batch screening with business context. You get weighted scoring across availability, trademark conflicts, pronounceability, and length, with preset profiles for fintech, SaaS, and developer tools. Useful when you're naming a product or company and want to filter candidates by .com availability, trademark safety, or social handle conflicts before spending time on branding. Supports 20 TLD presets and runs concurrent async checks with caching for speed.
Name your startup like a YC founder. Check domain availability, screen for trademark conflicts, and rank everything — so you pick from the best options, not all of them.

uvx namera
Or install persistently:
uv tool install namera
git clone https://github.com/siddmax/Namera.git
cd Namera
pip install -e .
uvx namera find --context '{"name_candidates": ["voxly", "dataprime"], "niche": "fintech"}'
Ranked results
┌──────┬────────────┬───────┬────────────┬───────────┐
│ Rank │ Name │ Score │ .com │ Trademark │
├──────┼────────────┼───────┼────────────┼───────────┤
│ 1 │ getnamera │ 92 │ Available │ Clear │
│ 2 │ trynamera │ 87 │ Available │ Clear │
│ 3 │ namerahq │ 84 │ Available │ Clear │
└──────┴────────────┴───────┴────────────┴───────────┘
popular, tech, startup, fintech, geo-us, geo-eu, and morenamera search voxly
namera domain voxly --tlds com,io,ai
namera trademark voxly
namera whois voxly.com
# Interactive wizard
namera find
# Structured input (for agents and scripts)
namera find --context '{"name_candidates": ["voxly", "dataprime"], "description": "fintech analytics platform", "niche": "finance"}'
# Only available names, as JSON
namera find --context '...' --only-available --json
namera compose namera --common-prefixes --common-suffixes --check
namera compose namera --prefix get --prefix try --suffix hq --tlds com,io
namera rank voxly dataprime nimbus
namera rank voxly dataprime --profile fintech --json
# See all presets
namera presets
# Use a preset anywhere TLDs are accepted
namera compose voxly --tlds startup --check
namera domain voxly --tlds tech
Namera ships as an MCP server so AI agents (Claude Code, ChatGPT, Codex) can call it directly.
pip install namera[mcp]
namera-mcp
Add to Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"namera": {
"command": "namera-mcp",
"args": []
}
}
}
Two tools are exposed:
check_name — check a single name across domain, trademark, and socialfind_names — check multiple candidates with business context, score, and rank them| Profile | Optimizes for |
|---|---|
default | Balanced — domain, trademark, length, pronounceability |
startup-saas | .com availability (hard filter: must have .com) |
fintech | Trademark safety (hard filter: must be trademark-clear) |
consumer | Social handles + pronounceability |
developer-tools | .dev/.io TLDs + GitHub handle |
pip install -e ".[dev]"
pytest tests/ -v
ruff check src/ tests/
MIT