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., "@dnsdumpster Show me DNS records for example.com"
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.
A Model Context Protocol (MCP) server for interacting with the DNSDumpster API, enabling AI assistants to perform detailed DNS reconnaissance through natural language requests.
Query domain DNS records through AI assistants
Retrieve detailed information about:
A records (with associated IP and ASN information)
CNAME records
MX records
TXT records
NS records
Banner information where available
Support for pagination (Plus accounts)
Rate limiting and caching
Related MCP server: Domain-MCP
# Install from PyPI
uv pip install mcp-dnsdumpster
# Or from source
git clone https://github.com/yourusername/mcp-dnsdumpster.git
cd mcp-dnsdumpster
uv pip install -e .Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %AppData%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"dnsdumpster": {
"command": "uvx",
"args": ["mcp-dnsdumpster"],
"env": {
"DNSDUMPSTER_API_KEY": "your_api_key_here"
}
}
}
}Set your API key:
export DNSDUMPSTER_API_KEY=your_api_key_hereRun the server:
# Using uvx (recommended)
uvx mcp-dnsdumpster
# Or if installed from source
uv run server.py"Show me all subdomains for example.com"
"What are the mail servers for microsoft.com?"
"Tell me about the DNS infrastructure for twitter.com"
Python 3.10+
Uses uv for dependency management
Built with MCP SDK 1.4+
MIT
Get A records for a domain.
Args:
domain: The domain name to query (e.g., example.com)
ctx: Request context
Returns:
Formatted string containing A records
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description bears full burden. It mentions returning a formatted string but does not disclose error handling, rate limits, or edge cases (e.g., non-existent domain).
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?
Short and front-loaded with purpose. Includes structured 'Args' and 'Returns' sections, though somewhat verbose for a single parameter. No unnecessary information.
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 single-parameter tool. Lacks details on output format or failure scenarios, but covers the core purpose and parameter meaning. Could be more complete.
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?
Adds example ('example.com') to the domain parameter, which is helpful beyond the schema's type/title only. Schema description coverage is 0%, so description compensates well.
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 'Get A records for a domain' with specific verb and resource. Distinguished from sibling tools (get_cname_records, etc.) by focusing on A records.
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 vs alternatives like get_cname_records or query_domain. The description only states what it does, not when to choose it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get CNAME records for a domain.
Args:
domain: The domain name to query (e.g., example.com)
ctx: Request context
Returns:
Formatted string containing CNAME records
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits such as authentication requirements, rate limits, or error handling. It only states it returns a formatted string, leaving the agent without safety or constraint information.
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 extremely concise with no wasted words, fitting all necessary information into a few lines.
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 tool's simplicity (single parameter, no output schema), the description covers the purpose, parameter usage, and return value adequately. It could mention potential errors, but is sufficient for basic use.
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 description adds meaning beyond the raw schema by explaining the 'domain' parameter with an example, compensating for the lack of schema descriptions (0% coverage) and providing useful context.
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 'Get CNAME records for a domain' with a specific verb and resource, and distinguishes it from sibling tools like get_a_records and get_mx_records by focusing on CNAME records.
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?
While there is no explicit when-not-to-use guidance, the description and tool name make it obvious that this tool is for CNAME records, and sibling tool names indicate alternatives for other record types.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get MX (mail) records for a domain.
Args:
domain: The domain name to query (e.g., example.com)
ctx: Request context
Returns:
Formatted string containing MX records
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description only states it returns a formatted string containing MX records. It does not disclose any behavioral traits like error handling, rate limits, or the number of records returned.
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 very concise: a one-line purpose followed by a docstring-style args/returns. It front-loads the core purpose effectively, though it could be slightly more detailed without becoming verbose.
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?
For a simple DNS lookup tool with one parameter and no output schema, the description is minimally adequate. It specifies the return format but does not mention potential queries (e.g., only MX records) or error cases.
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 schema has one required parameter 'domain' with no description. The description adds an example (e.g., example.com) and clarifies it's the domain name to query, which adds basic meaning but lacks further format constraints or validation details.
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 verb 'Get' and the resource 'MX (mail) records for a domain'. It distinguishes itself from sibling tools like get_a_records or get_cname_records by specifying MX records.
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 alternatives (e.g., query_domain for other DNS records). The description lacks context on when it's appropriate to call this tool instead of others.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get NS (nameserver) records for a domain.
Args:
domain: The domain name to query (e.g., example.com)
ctx: Request context
Returns:
Formatted string containing NS records
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must carry behavioral disclosure. It only mentions returning a formatted string but does not specify whether the tool is read-only, requires authentication, or has side effects. This is insufficient transparency.
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 concise with one sentence followed by structured args/returns. It is front-loaded and contains no redundant text.
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?
For a simple tool with one parameter and no output schema, the description covers the basic purpose and return type. However, it lacks error handling info, rate limits, or example output, leaving some gaps in completeness.
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?
With 0% schema description coverage, the description compensates by giving an example (e.g., example.com). However, it does not explain domain format requirements or any constraints beyond the example, so the addition is minimal.
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 'Get NS (nameserver) records for a domain' using a specific verb and resource. It distinguishes from sibling tools like get_a_records and get_cname_records.
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 alternatives (e.g., query_domain, search_subdomains). The description lacks context for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get TXT records for a domain.
Args:
domain: The domain name to query (e.g., example.com)
ctx: Request context
Returns:
Formatted string containing TXT records
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It lacks disclosure of behavioral traits such as whether the operation is read-only, authorization requirements, or potential side effects. The minimal description does not compensate for this gap.
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 very concise, with no wasted words. It efficiently communicates the tool's purpose and parameters in a single line plus arg documentation.
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?
For a simple one-parameter tool with no output schema, the description covers the essential aspects but lacks details on the return format and error handling. It is adequate but not fully complete.
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 0%, but the description adds an example for the domain parameter, clarifying its usage. However, it does not elaborate on format or constraints beyond the schema type, achieving only a baseline level of added meaning.
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 gets TXT records for a domain, using a specific verb and resource. It distinguishes itself from siblings like get_a_records which handle other record types.
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?
The description does not explicitly provide when to use this tool versus alternatives. While the name implies DNS TXT record retrieval, no guidance on exclusions or comparisons with siblings is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Query DNSDumpster for all DNS records related to a domain.
Args:
domain: The domain name to query (e.g., example.com)
ctx: Request context
Returns:
JSON string containing all DNS records
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose all behavioral traits. It only implies a read operation ('Query') but does not mention side effects, authorization needs, rate limits, or whether the tool is safe to call repeatedly. The description lacks necessary transparency.
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 relatively concise (two sentences plus arg/return spec) and front-loaded with the core purpose. However, the arg/return formatting is slightly verbose for a tool description. Overall efficient.
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 the tool (one parameter, no output schema) and the presence of sibling tools, the description covers the basic operation but lacks usage context and behavioral details. It does not explain what 'all DNS records' entails or how results are structured.
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 schema has 0% description coverage, and the description provides a minimal explanation of the 'domain' parameter with an example (e.g., example.com). This adds some meaning beyond the schema's type definition, but it remains basic and does not specify format or validation rules.
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 it queries 'all DNS records' from DNSDumpster for a domain, which distinguishes it from sibling tools that focus on specific record types (get_a_records, etc.) or subdomain search. The verb 'Query' is generic but appropriate, and the resource is well-specified.
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 alternatives like individual record queries or search_subdomains. It does not specify when a comprehensive query is preferable or mention any prerequisites or limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Search for subdomains of a given domain.
Args:
domain: The parent domain name to query (e.g., example.com)
ctx: Request context
page: Page number for pagination (Plus accounts only)
Returns:
Formatted string containing subdomains found
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | ||
| page | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description provides some behavioral context: pagination is limited to Plus accounts and returns a formatted string. However, it does not disclose authentication needs, rate limits, or that the operation is read-only.
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 concise with a clear main line, Args section, and Returns section. It is front-loaded. Minor redundancy exists but overall efficient.
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 no output schema or annotations, the description covers the basics: purpose, parameters, and return type. However, it lacks details on error handling, prerequisites, or the return format's structure, leaving gaps for the agent.
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 schema has 0% description coverage, but the description explains both parameters: 'domain' with context and example, 'page' with pagination and account restriction. This adds significant meaning beyond the schema's type/title.
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 it searches for subdomains of a given domain, using a specific verb and resource. It is distinct from sibling tools which handle specific DNS record types or general domain queries.
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?
The description implies usage for discovering subdomains but does not explicitly state when to use this tool versus alternatives (e.g., get_a_records for A records). No when-not-to-use guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Each tool targets a specific and distinct DNS record type or operation (individual records, combined query, subdomain search). No overlap or ambiguity.
Most tools follow the 'get_*_records' pattern, but 'query_domain' and 'search_subdomains' break the pattern. Still, all names are descriptive and predictable.
7 tools is an ideal size for a DNS lookup server—covers essential record types and common operations without being overwhelming.
Covers core DNS records (A, CNAME, MX, NS, TXT) plus subdomains, but lacks some common types like AAAA, SOA, or SRV. Minor gap but main functionality is complete.
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