Bulk availability checking
Check keywords against selected TLDs to find available domains, with the README showing both single-keyword and multi-keyword searches.
tldx
tldx is a command-line tool for bulk domain availability checks with keywords, permutations, regex patterns, and TLD presets. Supports multiple output formats and an MCP server.
Overview
tldx is a command-line tool for checking whether domain names are available. It focuses on bulk searches driven by keywords, prefixes, suffixes, TLD sets, and regex patterns, so users can generate many candidate domains and review the results quickly.
The project description and examples show that tldx checks domains with RDAP and also references DNS and WHOIS. It can stream results as they are found, filter to available domains only, limit the number of matches returned, and output results in several machine-friendly or human-readable formats.
Features
Keyword permutations
Generate candidate domains with prefixes, suffixes, and TLD combinations such as `getopenaily.com` or `useopenaihub.io` before checking availability.
Regex-based generation
Use regex patterns to build domain combinations, including examples like all three-letter `.com` domains, with a documented safeguard that skips patterns generating more than 500,000 combinations.
Built-in and custom TLD presets
Select curated TLD sets through built-in presets, create custom presets, and store them in a config file for reuse.
Multiple output formats
Choose from text, JSON, JSON stream, JSON array, CSV, grouped, and grouped-by-TLD output formats, and optionally show stats at the end.
MCP server support
Run `tldx mcp` to start an MCP server over stdio for AI agent workflows.
Use Cases
Search for a new domain name
Test a short list of candidate names across selected TLDs to see which domains are already taken and which remain available.
Explore naming permutations
Generate brand-style variants with prefixes and suffixes, then scan them in bulk to surface usable combinations for a project or campaign.
Probe pattern-based name sets
Use regex patterns to check structured domain spaces, such as all three-letter names or other constrained combinations.
Automate batch checks
Feed keyword lists from a file or stdin into the CLI to batch-check domains as part of a script or terminal workflow.
Connect to agent workflows
Start the MCP server when you want an AI agent or other MCP client to work with tldx through stdio.
Pros and Cons
Pros
- Supports bulk domain discovery with prefixes, suffixes, regex patterns, and TLD presets.
- Offers several output formats, which makes it easier to use in scripts or downstream tools.
- Can stream results as they are found instead of waiting for a full batch to finish.
- Includes custom preset management, so repeated TLD selections can be saved and reused.
- Provides an MCP server for agent-based workflows.
Cons
- The README warns that regex patterns producing more than 500,000 combinations are skipped.
- The source does not document a dedicated hosted service or web interface; usage is centered on the CLI and MCP server.
FAQ
How does tldx check domains?
It checks domain availability using RDAP and also mentions DNS and WHOIS in the product description. The README examples show keyword-based lookups, regex-generated combinations, prefixes, suffixes, and TLD presets.
What output formats does tldx support?
The README lists multiple output formats: text, json, json-stream, json-array, csv, grouped, and grouped-tld.
Does tldx support MCP?
Yes. The project includes an MCP command that starts a Model Context Protocol server over stdio, which is intended for AI agent integration.
How is tldx priced?
The source does not publish a price for tldx itself. The GitHub pricing page shows GitHub’s own free and paid plans, but that is separate from the project and does not describe tldx pricing.
Quick Facts
- Category
- Developer Tool
- Interface
- Command-line tool
- Source
- GitHub repository
- Repository
- brandonyoungdev/tldx
- License
- Open source; license file is present in the repository
- Pricing
- No product pricing published in the source
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