Web search and content scraping via DuckDuckGo with configurable result limits.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add aahl/skills --skill mcp-duckgoCompatible with
Supported agents
Provides two core commands: search for querying the web with customizable result counts, and fetch_content for scraping full page content from URLs
Integrates with the DuckDuckGo MCP Server for real-time search results and webpage extraction
Useful for agents that need to gather current information, verify facts, or extract text from live web pages
No content available.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmcp-duckgoExecute the skills CLI command in your project's root directory to begin installation:
epx add aahl/skills --skill mcp-duckgoFetches mcp-duckgo from aahl/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/mcp-duckgo
Restart Cursor to activate mcp-duckgo. Access via /mcp-duckgoin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Useful defaults in mcp-duckgo — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added mcp-duckgo from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend mcp-duckgo for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: mcp-duckgo is focused, and the summary matches what you get after install.
mcp-duckgo fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
mcp-duckgo has been reliable in day-to-day use. Documentation quality is above average for community skills.
mcp-duckgo is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
mcp-duckgo fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
mcp-duckgo is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: mcp-duckgo is focused, and the summary matches what you get after install.
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