No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by nickclyde · MCP Server · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is duckduckgo-mcp-server safe to install? View the security audit →
DuckDuckGo Search MCP Server A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing. Quick Start Features Web Search: Search DuckDuckGo with advanced rate limiting and result formatting Content Fetching: Retrieve and parse webpage content with intelligent text extraction Rate Limiting: Built-in protection against rate limits for both search and content fetching Error Handling: Comprehensive error handling and logging LLM-Friendly Output: Results formatted specifically for large language model consumption Installation Install from PyPI using : Usage Running with Claude Desktop Download Claude Desktop Create or edit your Claude Desktop configuration: On macOS: On Windows: Add the following configuration: B
| Stars | 1,455 |
| Forks | 187 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.7442594116775/100 |
| Last Updated | 2026-09-04 |
| Created | 2025-02-22 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~14k |
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duckduckgo-mcp-server is A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.. It is categorized as a MCP Server with 1.5k GitHub stars.
duckduckgo-mcp-server is primarily written in Python.
You can find installation instructions and usage details in the duckduckgo-mcp-server GitHub repository at github.com/nickclyde/duckduckgo-mcp-server. The project has 1.5k stars and 187 forks, indicating an active community.
duckduckgo-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: