Zero-config domain availability MCP server for Claude & ChatGPT. Live pricing via Porkbun, premium/auction detection via GoDaddy, AI suggestions, RDAP/WHOIS fallback. Stdio + HTTP.
- ✓Open-source license (MIT)
- ✓Clear description
- ✓Topics declared
claude mcp add domain-search-mcp -- npx -y domain-search-mcp{
"mcpServers": {
"domain-search-mcp": {
"command": "npx",
"args": ["-y", "domain-search-mcp"],
"env": {
"PRICING_API_BASE_URL": "<pricing_api_base_url>",
"PRICING_API_TOKEN": "<pricing_api_token>",
"PORKBUN_API_KEY": "<porkbun_api_key>",
"PORKBUN_API_SECRET": "<porkbun_api_secret>",
"NAMECHEAP_API_KEY": "<namecheap_api_key>",
"REDIS_URL": "<redis_url>"
}
}
}
}PRICING_API_BASE_URLPRICING_API_TOKENPORKBUN_API_KEYPORKBUN_API_SECRETNAMECHEAP_API_KEYREDIS_URLMCP Servers overview
# Domain Search MCP
[](https://www.npmjs.com/package/domain-search-mcp)
[](https://www.npmjs.com/package/domain-search-mcp)
[](LICENSE)
[](https://www.npmjs.com/package/domain-search-mcp)
[](https://registry.modelcontextprotocol.io)
[](https://glama.ai/mcp/servers/@dorukardahan/domain-search-mcp)
[](https://context7.com/dorukardahan/domain-search-mcp)
**Naming engine with availability intelligence** — an MCP server that scores the names your model generates and runs availability checks against domains, socials, and package registries. Works with zero configuration using public RDAP/WHOIS, and optionally enriches results with registrar pricing via a backend you control.
**🆕 v1.12.0**: `name_project` — a two-phase naming engine. Call it once to get generation instructions for your model, call it again with `candidates[]` to get anti-slop scoring, ranking, and live availability checks across domains, socials, and npm. See [name_project](#name_project) below.
**🆕 v1.10.0**: GoDaddy public endpoint integration! Enhanced fallback chain (RDAP → GoDaddy → WHOIS) with premium/auction domain detection. Circuit breaker pattern ensures resilience.
**🤖 v1.9.0+**: AI-powered domain suggestions work out of the box! No API keys needed - `suggest_domains_smart` uses our public fine-tuned Qwen 7B-DPO model. Plus: Redis distributed caching and `/metrics` endpoint for observability.
Built on the [Model Context Protocol](https://modelcontextprotocol.io) for Claude, Codex, VS Code, Cursor, Cline, and other MCP-compatible clients.
## Features
| Feature | Description |
|---------|-------------|
| 🔍 **Multi-TLD Search** | Check one name across .com, .io, .dev, .ai and 500+ TLDs |
| 📦 **Bulk Check** | Validate up to 100 domain names in a single call |
| 💎 **Premium Detection** | Identify premium and auction domains via GoDaddy |
| 🤖 **AI Suggestions** | Generate brandable names with fine-tuned Qwen 7B-DPO |
| 💰 **Price Comparison** | Compare pricing across Porkbun, Namecheap |
| 🌐 **Social Handle Check** | Verify username availability on GitHub, Twitter, etc. |
| 🔌 **Dual Transport** | Works via stdio (Claude) or HTTP/SSE (ChatGPT Actions) |
| ⚡ **Zero Config** | Works instantly - no API keys required for availability |
## What It Does
- Check a single name across multiple TLDs.
- Bulk-check up to 100 names for one TLD.
- Compare registrar pricing (uses backend when configured).
- Suggest names and validate social handles.
- Detect premium/auction signals for `search_domain`.
## How It Works
Availability and pricing are intentionally separated:
```
Availability Chain (zero-config):
┌─────────┐ ┌─────────┐ ┌─────────┐
│ RDAP │ ──► │ GoDaddy │ ──► │ WHOIS │
│ (fast) │ │(premium)│ │(fallback│
└─────────┘ └─────────┘ └─────────┘
```
- **Availability** (default, no keys needed):
- **RDAP**: Primary source - fast, unlimited, public registry data
- **GoDaddy**: Secondary - adds premium/auction detection (30 req/min, circuit breaker protected)
- **WHOIS**: Last resort fallback for edge cases
- **Pricing** (optional):
- Recommended: `PRICING_API_BASE_URL` (backend with Porkbun keys)
- Optional BYOK: Porkbun/Namecheap only when backend is not configured
This keeps the server zero-config while letting power users enable pricing.
## Pricing Verification
Responses include `price_check_url` (registrar checkout/search link) and may include
`price_note` when a price is estimated. Always verify the final price on the registrar
checkout page before purchase.
If an auction/premium signal is detected, results include an `aftermarket` block with
links to marketplace pages when available. Taken domains may include Sedo auction
hints (public feed) and nameserver-based marketplace hints (Sedo/Dan/Afternic).
## Quick Start
### Option 1: npx (Recommended)
No installation needed - run directly:
```bash
npx -y domain-search-mcp@latest
```
### Option 2: From Source
```bash
git clone https://github.com/dorukardahan/domain-search-mcp.git
cd domain-search-mcp
npm install
npm run build
npm start
```
## Transport Options
### stdio (Default)
For MCP clients like Claude Desktop, Cursor, VS Code - uses stdin/stdout:
```bash
npx -y domain-search-mcp@latest
```
### HTTP/SSE (ChatGPT, Web Clients, LM Studio)
For ChatGPT Actions, web apps, and REST API clients:
```bash
# Start HTTP server on port 3000
npx -y domain-search-mcp@latest --http
# Or with custom port
MCP_PORT=8080 npx -y domain-search-mcp@latest --http
```
**Endpoints:**
- `/mcp` - MCP protocol (POST for messages, GET for SSE stream)
- `/api/tools/*` - REST API for each tool (ChatGPT Actions compatible)
- `/openapi.json` - OpenAPI 3.1 specification
- `/health` - Health check
- `/metrics` - Prometheus-compatible metrics (cache stats, request counts, AI inference health)
### ChatGPT Custom GPT Integration
1. Start the HTTP server (see above)
2. Expose via ngrok: `ngrok http 3000`
3. In ChatGPT, create a Custom GPT and add an Action
4. Import the OpenAPI spec from `https://your-ngrok-url.ngrok-free.dev/openapi.json`
5. Test the tools!
For production deployment, use a permanent domain with SSL instead of ngrok.
**REST API Example:**
```bash
curl -X POST https://your-domain/api/tools/search_domain \
-H "Content-Type: application/json" \
-d '{"domain_name":"vibecoding"}'
```
## MCP Client Config
**Claude Code** (`.mcp.json` in project root):
```json
{
"mcpServers": {
"domain-search": {
"type": "stdio",
"command": "npx",
"args": ["-y", "domain-search-mcp@latest"]
}
}
}
```
**Claude Desktop** (`claude_desktop_config.json`):
```json
{
"mcpServers": {
"domain-search": {
"command": "npx",
"args": ["-y", "domain-search-mcp@latest"]
}
}
}
```
> **💡 Tip**: Always use `@latest` to ensure you're running the newest version with all features.
## Tools
All 12 tools listed below are exposed to MCP clients by default. The 6-tool
slim profile (`name_project`, `search_domain`, `bulk_search`, `check_socials`,
`tld_info`, `ai_health`) is opt-in — set `SLIM_TOOLS=true` if you want a
sharper tool-selection surface for simpler client integrations (see
[Environment Variables](#environment-variables)). A future 2.0 release may
flip the default to slim.
`ADVANCED_TOOLS=true` is a deprecated alias that forces the full surface and
overrides `SLIM_TOOLS`; it's a harmless no-op today since full is already the
default.
### name_project
**Flagship two-phase naming engine.** Call it once to get lane-by-lane generation
instructions for *your* model; call it again with `candidates[]` to get anti-slop
scoring, ranking, and live availability checks across domains, socials, and npm.
- **Modes**: `brief` (describe what you're naming), `auto` (analyze the current
workspace), `from_name` (find domains/variants for a name you already like),
`from_domain` (fit a project/brand to a domain you found).
- **Phase 1** (no `candidates`): returns generation instructions + lane prompts.
- **Phase 2** (`candidates` present): scores + ranks candidates, then checks
availability for the top 12 against `targets.tlds` / `targets.platforms` —
omit `targets` for pure naming with no availability calls.
> Scores are heuristic rankings for comparing candidates against each other —
> not objective, universal brandability truth. Availability results reflect a
> single source checked at one moment in time; re-verify before you register
> or rely on anything.
**Phase 1** — call with no `candidates`:
```json
{"mode": "brief", "brief": "an MCP naming engine"}
```
```
Brief: an MCP naming engine
Now generate between 30 and 50 name candidates spread across these lanes:
- [evocative] Real words borrowed for their feeling, not their meaning (like Slack, Notion, Bolt). Single dictionary words preferred.
- [invented] Coined words that do not exist but sound like they could (like Zapier, Klarna). Must be pronounceable on first read.
- [compound] Two short real words fused (like Facebook, Snapchat). Both halves must stay readable; no glue letters.
- [premium] Short, expensive-feeling names: 4-7 letters, strong single or double syllable (like Stripe, Vercel, Arc).
Rules: single words or tight compounds, no taglines, no explanations yet. Then call name_project again with the SAME arguments plus candidates:[...] to get scoring and availability.
```
**Phase 2** — resubmit the same arguments plus `candidates`:
```json
{"mode": "brief", "brief": "an MCP naming engine", "candidates": ["Nexify", "Corda"]}
```
```
| Name | Score | Verdict | Badges | Why |
| --- | --- | --- | --- | --- |
| Corda | 97 strong | - | - | no AI-slop patterns; clean pronunciation and typing |
| Nexify | 60 middling | - | - | slop: overused prefix "nex-"; slop: overused suffix "-ify" |
2 candidates received, 2 passed constraints, top 2 returned.
No availability-check targets - pure naming mode.
```
Badges: `tld✓` free to register, `tld$` for sale (aftermarket/premium - registered or priced, not free to register), `tld✗` taken, `tld?` unknown.
ccTLD checks (`.ai` / `.io` / `.sh` / `.ac`) are cross-checked against native WHOIS/DNS ground truth, not taken on RDAP's word alone.
See [docs/API.md](docs/API.md#name_project) for the full parameter/response schema.
### Core Search
- `search_domain`: Check a name across multiple TLDs, adds premium/auction signals.
- `bulk_search`: Check up to 100 names for a single TLD.
- `compare_registrars`: Compare pricing across registrars (backend when configured).
### AI-Powered SugWhat people ask about domain-search-mcp
What is dorukardahan/domain-search-mcp?
+
dorukardahan/domain-search-mcp is mcp servers for the Claude AI ecosystem. Zero-config domain availability MCP server for Claude & ChatGPT. Live pricing via Porkbun, premium/auction detection via GoDaddy, AI suggestions, RDAP/WHOIS fallback. Stdio + HTTP. It has 25 GitHub stars and was last updated today.
How do I install domain-search-mcp?
+
You can install domain-search-mcp by cloning the repository (https://github.com/dorukardahan/domain-search-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is dorukardahan/domain-search-mcp safe to use?
+
Our security agent has analyzed dorukardahan/domain-search-mcp and assigned a Trust Score of 77/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains dorukardahan/domain-search-mcp?
+
dorukardahan/domain-search-mcp is maintained by dorukardahan. The last recorded GitHub activity is from today, with 7 open issues.
Are there alternatives to domain-search-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy domain-search-mcp to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/dorukardahan-domain-search-mcp)<a href="https://claudewave.com/repo/dorukardahan-domain-search-mcp"><img src="https://claudewave.com/api/badge/dorukardahan-domain-search-mcp" alt="Featured on ClaudeWave: dorukardahan/domain-search-mcp" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface