domain-checker
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@domain-checkercheck if example.com is available"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Domain-checker Universal MCP Server
This repository contains an implementation of an Domain-checker Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Domain-checker's tools and services through a unified API.
The server is built using the Universal MCP framework.
This implementation follows the MCP specification, ensuring compatibility with other MCP-compliant services and tools.
Usage
You can start using Domain-checker directly from agentr.dev. Visit agentr.dev/apps and enable Domain-checker.
If you have not used universal mcp before follow the setup instructions at agentr.dev/quickstart
Related MCP server: Openprovider MCP Server
Available Tools
The full list of available tools is at Tools
Local Development
š Prerequisites
Ensure you have the following before you begin:
Python 3.11+ (recommended)
uv (install globally with
pip install uv)
š ļø Setup Instructions
Follow the steps below to set up your development environment:
Sync Project Dependencies
uv syncThis installs all dependencies from
pyproject.tomlinto a local virtual environment (.venv).Activate the Virtual Environment
For Linux/macOS:
source .venv/bin/activateFor Windows (PowerShell):
.venv\Scripts\ActivateStart the MCP Inspector
mcp dev src/universal_mcp_domain_checker/server.pyThis will start the MCP inspector. Make note of the address and port shown in the console output.
Install the Application
mcp install src/universal_mcp_domain_checker/server.py
š Project Structure
.
āāā src/
ā āāā universal_mcp_domain_checker/
ā āāā __init__.py # Package initializer
ā āāā server.py # Server entry point
ā āāā app.py # Application tools
ā āāā README.md # List of application tools
āāā tests/ # Test suite
āāā .env # Environment variables for local development
āāā pyproject.toml # Project configuration
āāā README.md # This fileš License
This project is licensed under the MIT License.
Generated with MCP CLI ā Happy coding! š
Available Tools
2 toolsdomain-checker_check_domain_toolB
Checks if a domain is available for registration by querying DNS records and RDAP data.
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | String representing the domain name to check (e.g., "example.com") |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Mentions the method of checking (DNS and RDAP), which provides some behavioral context. However, no annotations exist, and the description does not disclose potential costs, rate limits, or whether the operation is truly read-only beyond what is implied. Bare minimum transparency for a simple check tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, 15 words, no wasted words. Efficient and direct, but could be slightly improved by front-loading the core purpose more prominently (though it already does).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate for a simple tool with one parameter and no output schema, but fails to describe the return format or error conditions. The agent does not know if the response is boolean, string, or structured, which is a gap given the complexity level.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides a clear description of the single parameter 'domain'. The tool description adds no additional meaning beyond what is in the schema. Baseline 3 due to 100% schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the verb 'checks' and resource 'domain availability', distinguishing from sibling tool 'check_tlds_tool' by specifying it checks domains for registration availability. The description is specific and actionable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus the sibling 'check_tlds_tool'. Lacks any contextual instructions about prerequisites, domain format restrictions, or when to prefer alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
domain-checker_check_tlds_toolC
Checks a keyword across multiple top-level domains (TLDs) to find available domain names.
| Name | Required | Description | Default |
|---|---|---|---|
| keyword | Yes | String representing the keyword to check across TLDs (e.g., "myapp") |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral transparency. It states the tool checks 'across multiple TLDs' but gives no details on which TLDs, how availability is determined, or any side effects (e.g., rate limits, caching). This minimal disclosure is insufficient for an agent to understand the tool's full behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is front-loaded with the core action ('Checks a keyword across multiple TLDs') and includes the outcome ('find available domain names'). Every word is necessary and there is no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity of this tool (one parameter, no output schema) and the presence of a sibling, the description should explain what 'available' means, whether there are limitations on TLDs checked, and how results are returned. The current description leaves significant gaps, making it incomplete for an agent to use effectively without additional context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3. The parameter 'keyword' already has a clear description in the schema ('String representing the keyword to check across TLDs (e.g., "myapp")'). The tool description adds no new semantic information beyond what is in the schema, thus it does not improve the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks a keyword across multiple TLDs to find available domains, using a specific verb and resource. However, it does not explicitly differentiate from the sibling tool 'domain-checker_check_domain_tool', which likely checks a specific domain rather than a keyword across TLDs. A brief contrast would elevate it to 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the sibling 'domain-checker_check_domain_tool'. The context signals list the sibling but the description lacks any mention of scenarios where one should prefer this tool over the other, leaving the agent without decision criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
2 tool updates
v0.1.1- First observed
domain-checker_check_domain_tool - First observed
domain-checker_check_tlds_tool
TDQS
The two tools have clearly distinct purposes: one checks a specific domain's availability, and the other checks a keyword across multiple TLDs. No overlap.
Both tools follow a consistent verb_noun pattern with the 'check_' prefix and a common '_tool' suffix, making the naming predictable.
With only 2 tools, the set feels thin for a domain checker, but it covers the core use cases of checking a single domain and exploring multiple TLDs.
The tools cover basic domain availability checking and keyword search across TLDs, but lack additional operations like detailed WHOIS lookups or bulk checks, leaving notable gaps.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
MCP server for DNSimple ā domains, DNS zone records, availability, pricing and contacts.
Domains MCP ā domain registration lookup + availability search over live
Custom domains for SaaS and AI agents: search, register, connect DNS, and issue HTTPS over MCP.
Remote MCP server: 19 domain-hygiene and email-auth tools (DNS, SPF, DMARC, DKIM, TLS).
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- AlicenseBqualityDmaintenanceProvides integration with the Namecheap API for domain management operations, including domain listing, availability checks, and nameserver configuration. It allows users to interact with their Namecheap account through natural language commands in MCP-compatible clients.34519MIT
- AlicenseBqualityCmaintenanceMCP server for Openprovider.com that enables domain management actions such as checking availability, registering domains, listing domains, and managing contacts through natural language.10MIT
- AlicenseAqualityDmaintenanceMCP server for checking domain name availability across 500+ TLDs using RDAP with WHOIS fallback for specific TLDs.2MIT
- AlicenseAqualityAmaintenanceMCP server for checking domain name availability via RDAP and WHOIS fallback, supporting single and bulk domain lookups.5MIT
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