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Autosearch

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

Install / Use

claude mcp add 0xmariowu -- npx -y github:0xmariowu/Autosearch

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

78/100

Supported Platforms

Claude Code
Claude Desktop
Cursor
Cline

Tags

Our assessment of Autosearch

Autosearch scores 78/100 on our quality scale, 713th of 901 AI & Machine Learning skills we index.

Its MCP Server is 5.5 KB long, split into 5 sections with 4 code examples: a solid amount of guidance for an agent.

It has 48 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
18/20
Description
12/15
Adoption
7/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so Autosearch is actively maintained.
  • Our last check on 2026-09-28 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review of the same text found nothing harmful.

  • noteInstalls by piping a downloaded script into a shellline 54
    curl -fsSL https://raw.githubusercontent.com/0xmariowu/Autosearch/main/scripts/install.sh | bash

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

Autosearch compared with similar skills

All 4 of these similar skills score higher than Autosearch; compare them before choosing.

SkillScoreStarsUpdatedFormat
Autosearch (this skill)by 0xmariowu784854d agoMCP Server
claude-memby thedotmack10095.0ktodayCLAUDE.md
Agent-Reachby Panniantong10086.6k15d agoCLAUDE.md
Understand-Anythingby Egonex-AI10084.9k2d agoCLAUDE.md
headroomby headroomlabs-ai10074.2ktodayCLAUDE.md

Frequently asked questions

How do I install Autosearch?
Run claude mcp add 0xmariowu -- npx -y github:0xmariowu/Autosearch. The install tabs above show the steps for each supported agent.
Which AI agents does Autosearch work with?
It is written for Claude Code, Claude Desktop, Cursor and Cline, as a MCP Server file. Other agents that read the same format can often use it too.
Is Autosearch safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review of the same text found nothing harmful. It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is Autosearch still maintained?
The repository was last updated about 2 months ago, so Autosearch is actively maintained.
<div align="center">

AutoSearch

Open-source Deep Research for AI Agents

40 channels, including 10+ Chinese sources.<br> MCP-native. LLM-decoupled. Plug into the agent host you already use.

CI release npm License Claude Code plugin MCP native

Install · Channels · MCP Setup · Examples · Docs · 中文

</div>

AutoSearch is open-source deep research infrastructure built for AI agents. Plug Claude Code, Cursor, Cline, GPT-Researcher, LangChain, LlamaIndex, AutoGen, and other hosts into MCP-native access across 40 channels, including 10+ Chinese sources.

The engine returns indexed multi-source results and stays uncoupled from LLM calls, so your agent keeps its own model, prompts, and workflow.


You ask your AI to research something. It answers from training data cutoff —

  • "Show me this week's LLM papers on arxiv" → can't, no academic database access
  • "What are people saying about this product on Reddit" → shallow, only surface-level web results
  • "Find similar open-source projects on GitHub" → weak, general search misses most repos
  • "Summarize the Twitter discussion on this topic" → blocked, no public API
  • "Compare opinions on Hacker News vs Chinese tech forums" → two platforms, manual aggregation

AutoSearch fixes this in one line. Pick the path that matches you:

Install

Have Node? (most common — works on macOS, Linux, Windows)

npx autosearch-ai

Using Claude Code / Cursor / Zed? Paste this into your AI agent:

Help me install AutoSearch: https://raw.githubusercontent.com/0xmariowu/Autosearch/main/docs/install.md

Shell user on macOS / Linux?

curl -fsSL https://raw.githubusercontent.com/0xmariowu/Autosearch/main/scripts/install.sh | bash

The npm wrapper runs install/init only when you invoke it explicitly. Plain npm install -g autosearch-ai does not auto-run init; avoiding npm install-time scripts is intentional supply-chain hardening.

After install, your Agent searches 40 channels simultaneously — academic papers, developer communities, Chinese social media, and Linux DO forum threads — results deduplicated and ranked, every result includes a source URL.


Channels

| Channel | Ready out of box | Unlocked after config | How to configure | |---------|-----------------|----------------------|-----------------| | 📄 arxiv | Academic preprints CS/ML/Physics | — | No config needed | | 🔬 PubMed / OpenAlex / DBLP | Biomedical + cross-discipline papers | — | No config needed | | 🐙 GitHub | Code, Issues, repository search | — | No config needed | | 🔍 DuckDuckGo | General web search | — | No config needed | | 🟠 Hacker News | Developer discussions + early product signals | — | No config needed | | 📖 Reddit | Community discussion + real user experiences | — | No config needed | | 🤗 Hugging Face | Open-source ML model search | — | No config needed | | 📦 Stack Overflow | Programming Q&A | — | No config needed | | 📰 Google News | Real-time news aggregation | — | No config needed | | 💻 dev.to | Developer blogs | — | No config needed | | 📊 SEC EDGAR | US company filings | — | No config needed | | 🌐 Wikipedia / Wikidata | Encyclopedia + structured knowledge | — | No config needed | | 💬 WeChat Official Accounts | Full-text article search | — | No config needed | | 📱 36kr / InfoQ | Chinese tech & business news | — | No config needed | | 🧵 Linux DO / Discourse Forums | Linux DO topics and Discourse-based public forum discussions | — | No config needed | | 🎬 YouTube | Video search + transcripts | — | Set YOUTUBE_API_KEY | | 📺 Bilibili | Chinese tech videos | — | Set TIKHUB_API_KEY | | 📹 WeChat Channels | Chinese short videos (视频号) | — | TIKHUB_API_KEY | | 🌸 Xiaohongshu | Lifestyle + product reviews | More stable | autosearch login xhs or TIKHUB_API_KEY | | 🐦 Twitter / X | Real-time discussion + tech news | — | TIKHUB_API_KEY | | 📣 Weibo / Douyin / Zhihu | Chinese social + in-depth discussion | — | TIKHUB_API_KEY | | 📈 Xueqiu | A-share / HK stock discussion | — | autosearch login xueqiu | | 💼 LinkedIn | Public pages via Jina Reader | — | No config needed |

Not sure how to configure? Just tell your Agent "help me configure XXX" — it will guide you step by step.


After install

Run autosearch doctor to check the status of every channel:

AutoSearch Channel Status
==========================================
Always-on (27/27)   ✅ arxiv  ✅ github  ✅ hackernews ...
API-key   (0/11)    ○  youtube  →  set YOUTUBE_API_KEY
                    ○  bilibili →  set TIKHUB_API_KEY
Login     (0/2)     ○  xiaohongshu  →  autosearch login xhs
                    ○  xueqiu       →  autosearch login xueqiu

License

MIT.

Related Skills

View on GitHub
GitHub Stars48
CategoryAI
Updated1mo ago
Forks8

Languages

Python

Trust signals

92/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low1 info