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GoDaddy Domain Availability

This MCP server provides AI assistants with domain availability checking and pricing through the GoDaddy API, featuring rate-limited requests (60 calls per minute), batch domain checking with multiple TLD suffixes, and detailed pricing information including registration periods and currency codes. Built by OriShmila using Python with FastMCP and httpx, it includes a custom rate limiter with retry-after calculations, comprehensive error handling for API failures, and formatted responses showing available/unavailable domains with pricing details and confidence levels. The implementation supports both individual domain queries and bulk checking by combining base names with TLD lists, making it valuable for domain research workflows, brand protection strategies, and building AI assistants that need programmatic access to domain registration data without manual registrar interaction.

Cognium trust score

65%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/orishmila/mcp-domain-availability
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve GoDaddy Domain Availability from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"