- ✓Actively maintained (<30d)
- ✓Documented (README)
- !No standard license detected
- !No description
claude mcp add nameai-mcp -- uvx nameai_mcp{
"mcpServers": {
"nameai-mcp": {
"command": "uvx",
"args": ["nameai_mcp"]
}
}
}Resumen de MCP Servers
# 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](src/nameai_mcp/server.py) for the tool definitions and [src/nameai_mcp/nameai_client.py](src/nameai_mcp/nameai_client.py) for the HTTP client that talks to name.ai. ## Endpoints - `GET /health` — health check. - `POST /mcp` (and `GET /mcp` for 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 to `https://name.ai`. - `HOST` / `PORT` — bind address for the server itself. Default `0.0.0.0:8000`. ## Local development ```sh uv sync uv run uvicorn nameai_mcp.app:app --reload ``` ## Docker ```sh 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](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.
Lo que la gente pregunta sobre nameai_mcp
¿Qué es namekart/nameai_mcp?
+
namekart/nameai_mcp es mcp servers para el ecosistema de Claude AI con 0 estrellas en GitHub.
¿Cómo se instala nameai_mcp?
+
Puedes instalar nameai_mcp clonando el repositorio (https://github.com/namekart/nameai_mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar namekart/nameai_mcp?
+
Nuestro agente de seguridad ha analizado namekart/nameai_mcp y le ha asignado un Trust Score de 52/100 (tier: OK). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene namekart/nameai_mcp?
+
namekart/nameai_mcp es mantenido por namekart. La última actividad registrada en GitHub es del 2026-08-27, con 0 issues abiertos.
¿Hay alternativas a nameai_mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega nameai_mcp en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/namekart-nameai-mcp)<a href="https://claudewave.com/repo/namekart-nameai-mcp"><img src="https://claudewave.com/api/badge/namekart-nameai-mcp" alt="Featured on ClaudeWave: namekart/nameai_mcp" width="320" height="64" /></a>Más 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.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
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!