duckduckgo-mcp-server: A Model Context Protocol server that provides web search capabilities through DuckDuckGo, with additional

by nickclyde · MCP Server · ★ 1.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install duckduckgo-mcp-server

uvx duckduckgo-mcp-server
uv pip install duckduckgo-mcp-server

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 74/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars1,455
Forks187
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score74/100
Last Updated2026-09-04
Created2025-02-22
Platformsbrowser, mcp, python
Est. Tokens~14k

About duckduckgo-mcp-server

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...

Compatible Skills

These tools work well together with duckduckgo-mcp-server for enhanced workflows:

  • investor-agent — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • claude-skill-registry — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • InsightFlow — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • perplexity-mcp — semantic(0.46)+same_lang+similar_pop+shared_platform (46%)
  • mcp-reddit — semantic(0.44)+same_lang+similar_pop+shared_platform (46%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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