DuckDuckGo Search
This MCP server implementation provides a simple interface for searching Duck Duck Go, based on Open-WebUI's built-in Web Search feature. Developed by lowlyocean, it utilizes the duckduckgo-search library to perform text searches and return results as a list of dictionaries containing links, titles, and snippets. The server is designed to work with Python 3.11+ and uses FastMCP for easy integration into MCP-based systems. It's particularly useful for AI applications requiring quick access to web search results, such as information retrieval tasks or content generation. The implementation focuses on simplicity and efficiency, making it suitable for both development and production environments with Docker support.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/lowlyocean/mcp-ddgs
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.