Is io.github.Gingiris-1031/analook safe to use?

io.github.Gingiris-1031/analook has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.Gingiris-1031/analook?

io.github.Gingiris-1031/analook supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.Gingiris-1031/analook?

io.github.Gingiris-1031/analook is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is io.github.Gingiris-1031/analook actively maintained?

io.github.Gingiris-1031/analook is actively maintained — last commit was 2 days ago. It has 100 GitHub stars.

io.github.Gingiris-1031/analook

Competitor intelligence for AI agents — SEO, traffic, social, Product Hunt, pricing, AI insights.

100 GitHub

No known CVEs

No license

Actively maintained

Last commit 2d ago

Works with most clients

Transport:

0 tools

Grade F

Edit this pageView history

AI / ML Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "analook": {
      "url": "https://www.analook.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_ANALOOK_TOKEN>"
      }
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-gingiris-1031-analook)](https://mcppedia.org/s/io-github-gingiris-1031-analook)

Read me

What io.github.Gingiris-1031/analook does

English | 中文 · 🤖 MCP Server · 📖 Docs

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

34/100across 5 weighted dimensions

How we score →

0255075100

−66

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Gingiris-1031/analook safe to use?: io.github.Gingiris-1031/analook has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Gingiris-1031/analook?: io.github.Gingiris-1031/analook supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.Gingiris-1031/analook?: io.github.Gingiris-1031/analook is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is io.github.Gingiris-1031/analook actively maintained?: io.github.Gingiris-1031/analook is actively maintained — last commit was 2 days ago. It has 100 GitHub stars.

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MCP Security Weekly

Get CVE alerts and security updates for io.github.Gingiris-1031/analook and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "analook": {
      "url": "https://www.analook.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_ANALOOK_TOKEN>"
      }
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-gingiris-1031-analook)](https://mcppedia.org/s/io-github-gingiris-1031-analook)

Read me

What io.github.Gingiris-1031/analook does

English | 中文 · 🤖 MCP Server · 📖 Docs

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

Analook — 竞品情报分析工具

30 秒看透任何竞品 · AI-powered competitor intelligence for indie hackers & growth teams

English | 中文 · 🤖 MCP Server · 📖 Docs

🤖 Remote MCP Server

Analook is available as a Remote MCP server — use it from Claude Desktop, Cursor, or any MCP-compatible client. No install, no local process.

{
  "mcpServers": {
    "analook": {
      "url": "https://www.analook.com/mcp",
      "headers": { "Authorization": "Bearer <YOUR_ANALOOK_TOKEN>" }
    }
  }
}

5 tools: analyze_competitor, get_report_status, get_report, get_report_markdown, list_my_reports.

Full docs & token instructions → analook.com/docs/mcp

💡 出海增长咨询 · 1v1 Session 约课 $200 — Telegram @Iris_carrot

或访问 gingiris.com — Iris 的出海增长咨询，1:1 指导、开源项目运营、企业顾问服务

What is Analook
Live Demo
Analysis Modules
AI Insights Depth
Quick Start
Deploy Your Own
API Integrations
Work With Iris
About the Author
中文版

🌱 Philosophy

"做竞品分析不是为了抄，是为了找到别人没做好的地方。" — Competitor research isn't about copying — it's about finding the gaps they left open.

"数据会说话，但你得先知道问对问题。" — Data speaks, but only if you ask the right questions.

"30 秒看懂一个产品，30 天超越它。" — Understand a product in 30 seconds. Surpass it in 30 days.

💼 Work With Iris

1. Strategic Consultation (1v1)

Session Price Best For
Quick Call (30 min) $150 USD Specific questions, quick diagnosis
Deep Dive (60 min) $300 USD Full strategy review, detailed roadmap

2. Advisory Retainer

Plan Price Includes
Monthly Retainer $1,500 USD/mo Up to 5 hours strategic consultation + milestone reviews

3. Playbooks & Templates

Package Price Contents
Starter Pack $29 USD Core methodology + essential tools
Flagship Bundle $199 USD Complete SOP, competitor research framework, templates

📩 Contact @Iris_carrot on Telegram — Crypto/USDT and Wire Transfer accepted

Session	Price	Best For
Quick Call (30 min)	$150 USD	Specific questions, quick diagnosis
Deep Dive (60 min)	$300 USD	Full strategy review, detailed roadmap

Plan	Price	Includes
Monthly Retainer	$1,500 USD/mo	Up to 5 hours strategic consultation + milestone reviews

Package	Price	Contents
Starter Pack	$29 USD	Core methodology + essential tools
Flagship Bundle	$199 USD	Complete SOP, competitor research framework, templates

What is Analook?

Analook is an open-source AI-powered competitor intelligence tool built by Iris, former cofounder & COO of AFFiNE (60k+ stars).

Enter any product URL. In ~30 seconds, Analook runs a 7-module parallel analysis pipeline and returns a structured deep-dive report — growth strategy, traffic signals, social footprint, ProductHunt history, AI insights, and more.

Built for:

Indie hackers validating a market before building
Growth teams benchmarking against competitors
Investors doing quick pre-DD intelligence
Founders preparing a launch in a crowded niche

Analysis Results Include

Signal	What You Learn
🌐 Website History	When launched, how fast it grew, Wayback timeline
📈 Traffic & SEO	Monthly visits, top channels, keyword gaps
🐦 Twitter / X

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

34/100across 5 weighted dimensions

How we score →

0255075100

−66

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Gingiris-1031/analook safe to use?: io.github.Gingiris-1031/analook has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Gingiris-1031/analook?: io.github.Gingiris-1031/analook supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.Gingiris-1031/analook?: io.github.Gingiris-1031/analook is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is io.github.Gingiris-1031/analook actively maintained?: io.github.Gingiris-1031/analook is actively maintained — last commit was 2 days ago. It has 100 GitHub stars.

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Others in ai-ml / analytics

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Sequential Thinking MCP Server98

Dynamic problem-solving through sequential thought chains

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Memory MCP Server98

Persistent memory using a knowledge graph

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Gpt Researcher95

An autonomous agent that conducts deep research on any data using any LLM providers

28.0k 5

Ruflo95

62.2k 4

MCP Security Weekly

Get CVE alerts and security updates for io.github.Gingiris-1031/analook and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

io.github.Gingiris-1031/analook

Install in your client

What io.github.Gingiris-1031/analook does

Test This Server

Why this score

34/100across 5 weighted dimensions

Security

Reviews

Frequently Asked Questions

Similar servers

Discussion

io.github.Gingiris-1031/analook

Install in your client

What io.github.Gingiris-1031/analook does

Test This Server

Analook — 竞品情报分析工具

30 秒看透任何竞品 · AI-powered competitor intelligence for indie hackers & growth teams

🤖 Remote MCP Server

Table of Contents

What is Analook?

Analysis Results Include

Why this score

34/100across 5 weighted dimensions

Security

Reviews

Frequently Asked Questions

Similar servers

Discussion

Analook — 竞品情报分析工具

30 秒看透任何竞品 · AI-powered competitor intelligence for indie hackers & growth teams

🤖 Remote MCP Server

Table of Contents

What is Analook?

Analysis Results Include