DuckDuckGo Search
This DuckDuckGo MCP server, developed by Scott Spence, provides a streamlined interface for integrating DuckDuckGo search capabilities into MCP-compatible applications. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers customizable search parameters including region-specific results, safe search options, and date filtering. The implementation focuses on simplifying access to DuckDuckGo's search engine through a standardized protocol, making it easier for AI models to perform web searches without dealing directly with the search engine's API complexities. It's particularly useful for applications requiring up-to-date information retrieval, enabling use cases like fact-checking, current events analysis, and general knowledge queries.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/spences10/mcp-duckduckgo-search
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve DuckDuckGo Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.