Namera

Name: Namera
Author: solozerolabs

by solozerolabsversion 0.1.16i★ –iRuns on your computer

Registry nameio.github.solozerolabs/namera

Install

Overview

Description from the maker (original English)

Check name availability across domains, trademarks, and social handles. Score and rank candidates.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "namera": {
      "command": "uvx",
      "args": [
        "namera"
      ]
    }
  }
}

Run this in your terminal

claude mcp add namera -- uvx namera

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "namera": {
      "command": "uvx",
      "args": [
        "namera"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "namera": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "namera"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account solozerolabs, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32688 servers in this category
Published to the registry more recently than 32% of the other 32688 servers in this category
Basic checks equal to or better than 100% of the other 32688 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Namera safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.16) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, 御府和田玉在售作品查询

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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Install

御府和田玉在售作品查询

by 163yu.com

Live in-stock Hetian jade from Yufu, Shanghai: prices, monthly price guide, book a viewing.

Runs in the cloudUpdated today

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Namera

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.

Install

uvx namera

Or install persistently:

uv tool install namera

Install from source

git clone https://github.com/solozerolabs/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 │ └──────┴────────────┴───────┴────────────┴───────────┘

Features

Domain availability — DNS, RDAP, and optional pricing lookups
Trademark screening — 12.7M USPTO trademarks, exact + fuzzy matching
Social handle checks — GitHub, Twitter/X, Instagram
Name generation — permutations with prefixes, suffixes, and TLD combinations
Weighted ranking — composite scores from availability, trademark safety, length, and pronounceability
Scoring profiles — built-in presets for fintech, SaaS, consumer, developer tools
20 TLD presets — popular, tech, startup, fintech, geo-us, geo-eu, and more
Multiple output formats — table, JSON, NDJSON, CSV
Agent-friendly — auto-detects piped output and switches to JSON. Designed for Claude Code, Codex, and other AI agents
Fast — concurrent async checks with caching

Usage

Check a name

namera search voxly

namera domain voxly --tlds com,io,ai namera trademark voxly namera whois voxly.com

Discover names with business context

# 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

Generate name permutations

namera compose namera --common-prefixes --common-suffixes --check

namera compose namera --prefix get --prefix try --suffix hq --tlds com,io

Rank candidates

namera rank voxly dataprime nimbus

namera rank voxly dataprime --profile fintech --json

TLD presets

# See all presets

namera presets

Use a preset anywhere TLDs are accepted

namera compose voxly --tlds startup --check namera domain voxly --tlds tech

MCP Server (for AI agents)

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 social
`find_names` — check multiple candidates with business context, score, and rank them

Scoring Profiles

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

Development

pip install -e ".[dev]"

pytest tests/ -v ruff check src/ tests/

License

MIT

Namera

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

御府和田玉 在售作品查询

README from the maker

Namera

Install

Features

Usage

Check a name

Discover names with business context

Structured input (for agents and scripts)

Only available names, as JSON

Generate name permutations

Rank candidates

TLD presets

Use a preset anywhere TLDs are accepted

MCP Server (for AI agents)

Scoring Profiles

License

御府和田玉在售作品查询