DNSDumpster MCP Server

The MCP DNSDumpster server bridges the gap between conversational AI assistants and deep domain reconnaissance. By exposing the public DNSDumpster API through the Model Context Protocol, it allows assistants like Claude to answer complex DNS‑related questions without developers writing custom HTTP clients or parsing raw JSON. This streamlines threat hunting, penetration testing, and infrastructure mapping workflows, letting analysts focus on insights rather than plumbing.

At its core, the server translates natural‑language queries into structured DNS lookups. It can fetch a wide range of record types—A, CNAME, MX, TXT, NS, and banner data when available—and returns them in a tidy format that the assistant can embed directly into responses. Pagination support for Plus accounts ensures that large result sets, such as extensive subdomain enumerations, are handled gracefully. Built‑in rate limiting and caching reduce API churn and improve responsiveness, which is crucial when assistants need to surface information quickly during live investigations.

Key capabilities include:

• Domain‑level record retrieval: Get all relevant DNS data for a target in one call.
• Subdomain enumeration: Quickly list every discovered subdomain, useful for mapping attack surfaces.
• Mail server discovery: Identify MX records to assess email infrastructure and potential spoofing vectors.
• TXT record inspection: Surface SPF, DKIM, DMARC policies and other text‑based metadata.
• ASN association: Link IP addresses to their autonomous system numbers, aiding in geolocation and routing analysis.
• Caching: Reduce duplicate requests, lower latency, and stay within API limits.

Typical use cases span from automated threat intelligence pipelines—where an assistant can pull up a domain’s full DNS profile on demand—to educational scenarios, where learners ask “What are the mail servers for microsoft.com?” and receive a concise answer without leaving the chat. In incident response, analysts can quickly verify whether a newly discovered domain shares infrastructure with known malicious actors.

Integration is straightforward: once the MCP server is running and registered in a Claude Desktop configuration, any prompt that contains a domain name triggers the assistant to query DNSDumpster via the MCP endpoint. The server’s responses are injected into the conversation context, enabling rich, data‑driven answers without exposing raw API calls to end users. This seamless coupling of AI and external data sources is what makes the MCP DNSDumpster server a standout tool for developers building intelligence‑rich assistant workflows.