pulsemcp verified Safe content atomic mcp-remote

DuckDuckGo Search

This DuckDuckGo search implementation for the Model Context Protocol (MCP), developed by qwang07, enables AI models to perform web searches using the DuckDuckGo engine. Built with TypeScript and leveraging the duck-duck-scrape library, it provides a simple interface for querying DuckDuckGo and retrieving search results. The implementation stands out by offering easy integration with MCP-compatible AI systems and respecting DuckDuckGo's privacy-focused approach. It's particularly useful for AI assistants or applications needing up-to-date web information, enabling tasks like fact-checking, research, or providing current event updates without relying on potentially outdated training data.

Cognium trust score
97%
Tier
Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
browser-automation
Source
PulseMCP
Author type
human
Last scanned
2026-09-19
Updated
2026-09-19
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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