everyinfra-agent-plugins: EveryInfra MCP server & agent plugin: scraper API for TikTok, Instagram, Amazon, YouTube, Xiaohongshu & Douyin

by everyinfra · MCP Server · ★ 331

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

How to install everyinfra-agent-plugins

/plugin marketplace add everyinfra/everyinfra-agent-plugins

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

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.

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.

ai-agentsamazon-scrapercaptcha-solverclaude-codecursordouyineveryinfrainstagram-apilinkedin-scrapermcp

Quick Facts

Stars331
Forks6
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score69/100
Last Updated2026-11-07
Created2026-09-01
Platformsbrowser, claude-code, codex, mcp, python
Est. Tokens~18k

About everyinfra-agent-plugins

EveryInfra MCP Server & Agent Plugin — TikTok, Instagram, Amazon, Xiaohongshu & SERP Data API One API key and one MCP endpoint for public web data: 414 data capabilities across 90 platforms, 17 web search tools, CAPTCHA solving for 52 types and an OpenAI-compatible AI API that is free after a top-up. Pay per use from $0.56 per 1,000 data calls; failed or empty calls are not charged.

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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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