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dotemacs/domain-lookup-mcp

by Various

Domain Lookup MCP

D

MCP

dotemacs/domain-lookup-mcp

Added 1 June 2026

#mcp-server

Overview

A Model Context Protocol (MCP) server written in Go that performs domain lookups. It exposes domain information retrieval as a tool that can be called by AI assistants or other MCP-compatible clients. The implementation is minimal, with only 5 stars on GitHub, indicating a small user base.

Best for

Best for
Developers who need a bare-bones domain lookup tool compatible with MCP and prefer Go-based tools.

Use cases

  • Integrating domain lookup capabilities into AI chatbots or assistants via MCP.
  • Checking domain registration status or DNS records programmatically.
  • Building lightweight automation workflows that require domain information.

Notes

A Model Context Protocol (MCP) server written in Go that performs domain lookups. It exposes domain information retrieval as a tool that can be called by AI assistants or other MCP-compatible clients. The implementation is minimal, with only 5 stars on GitHub, indicating a small user base.

5 stars on GitHub. Last updated 2025-04-23.

Use cases

  • Integrating domain lookup capabilities into AI chatbots or assistants via MCP.
  • Checking domain registration status or DNS records programmatically.
  • Building lightweight automation workflows that require domain information.

Pros

  • Lightweight single binary due to Go compilation.
  • Open source and easy to audit or modify.
  • Simple MCP integration for developers already using the protocol.

Cons

  • Very low community adoption and limited documentation.
  • Likely only supports basic lookups (no advanced WHOIS parsing or bulk queries).
  • No active maintenance or feature updates visible from the repository.

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight single binary due to Go compilation.
  • Open source and easy to audit or modify.
  • Simple MCP integration for developers already using the protocol.

Cons

  • Very low community adoption and limited documentation.
  • Likely only supports basic lookups (no advanced WHOIS parsing or bulk queries).
  • No active maintenance or feature updates visible from the repository.