Server data from the Official MCP Registry
Domain availability search, WHOIS lookup, TLD pricing and registry rules from name.ai. Read-only.
About
Domain availability search, WHOIS lookup, TLD pricing and registry rules from name.ai. Read-only.
Remote endpoints: streamable-http: https://nameai-mcp.h.namekart.com/mcp
Security Report
Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: NAMEAI_API_BASE_URL
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-name-nameai-mcp": {
"url": "https://nameai-mcp.h.namekart.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
nameai-mcp
A remote MCP server exposing a handful of name.ai's public, no-auth-required APIs as tools: domain search/availability, WHOIS lookup, TLD registration pricing, and TLD requirements. See src/nameai_mcp/server.py for the tool definitions and src/nameai_mcp/nameai_client.py for the HTTP client that talks to name.ai.
Endpoints
GET /health— health check.POST /mcp(andGET /mcpfor the SSE stream) — the MCP streamable-http endpoint. This is the URL an MCP client/host connects to.
Configuration
NAMEAI_API_BASE_URL— base URL of the name.ai API this server calls. Defaults tohttps://name.ai.HOST/PORT— bind address for the server itself. Default0.0.0.0:8000.
Local development
uv sync
uv run uvicorn nameai_mcp.app:app --reload
Docker
docker build -t nameai-mcp .
docker run -p 8000:8000 nameai-mcp
The image runs nameai-mcp (the main() entry point in
src/nameai_mcp/__init__.py), which reads
HOST/PORT from the environment — pass -e PORT=... if your platform
injects a different port.
Deploying
Any host that can run the Docker image works. To make it reachable by AI
agents as https://mcp.name.ai, DNS for name.ai is on Cloudflare — add an
A/CNAME record for the mcp subdomain pointing at wherever this
container runs, and terminate TLS there (e.g. via Coolify/Traefik if hosted
alongside the rest of nameaiv1).
Being reachable isn't the same as being discovered — nothing on
name.ai currently points at this server. For an agent (or a scanner like
ora) to find it, name.ai itself needs a pointer to it, e.g. a line in
/llms.txt or a .well-known/mcp.json manifest. That's a change in the
nameaiv1 repo, not this one.
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