pulsemcp verified Safe content atomic mcp-remote

DuckDuckGo Search

This MCP server implementation provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing. Developed by Nick Clyde, it offers tools for performing web searches and retrieving webpage content, with built-in rate limiting and error handling. The server is designed to format results specifically for large language model consumption, making it particularly useful for AI applications that require up-to-date web information. It includes features like intelligent text extraction, comprehensive error logging, and LLM-friendly output formatting. The implementation is built using Python and integrates with the Model Context Protocol, focusing on ease of use within the Claude Desktop environment.

Cognium trust score

86%

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 2026-09-28.

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: ai-ml
Source: PulseMCP
Repository: github.com/nickclyde/duckduckgo-mcp-server
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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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.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"