search-webai-ml

KeywordsPeopleUse

data-skunks

by data-skunks

KeywordsPeopleUse: Integrates keyword research (People Also Ask, Autocomplete, Reddit/Quora) with localized semantic key

Integrates with KeywordsPeopleUse API to provide keyword research capabilities including People Also Ask questions, Google Autocomplete suggestions, Reddit/Quora questions, and semantic keywords with language and country localization options.

github stars

5

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Remote connection availableMultiple keyword research sourcesLanguage and country localization

best for

  • / SEO professionals doing keyword research
  • / Content creators finding topic ideas
  • / Digital marketers analyzing search behavior

capabilities

  • / Get Google Autocomplete suggestions
  • / Retrieve People Also Ask questions
  • / Find Reddit and Quora questions
  • / Discover semantic keywords
  • / Support multiple languages and countries

what it does

Connects to KeywordsPeopleUse API to gather keyword research data including autocomplete suggestions, People Also Ask questions, and social platform questions.

about

KeywordsPeopleUse is an official MCP server published by data-skunks that provides AI assistants with tools and capabilities via the Model Context Protocol. KeywordsPeopleUse: Integrates keyword research (People Also Ask, Autocomplete, Reddit/Quora) with localized semantic key It is categorized under search web, ai ml.

how to install

You can install KeywordsPeopleUse in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

KeywordsPeopleUse is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

KeywordsPeopleUse MCP Server

A Model Context Protocol (MCP) server implementation that integrates with KeywordsPeopleUse for keyword research features.

Features

  • Get People Also Ask questions
  • Get Google Autocomplete suggestions
  • Get Reddit and Quora questions
  • Get Semantic Keywords

Remote connection

Make sure you have Node.js and npm installed on your computer.

node --version

npm --version

If not, go to Node.js official website to download and install it.

Connect Claude Desktop to your MCP server

You can connect to your remote MCP server from local MCP clients, by using the mcp-remote proxy.

To connect to your MCP server from Claude Desktop, follow Anthropic's Quickstart and within Claude Desktop go to Settings > Developer > Edit Config.

Update with this configuration (replace YOUR_API_KEY with your API key):

{
  "mcpServers": {
    "keywordspeopleuse": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp-keywordspeopleuse.com/sse",
        "--header",
        "Authorization:YOUR_API_KEY"
      ]
    }
  }
}

Restart Claude and you should see the tools become available.

Local Installation

Clone from Github

git clone https://github.com/data-skunks/kpu-mcp.git

Get the API Key

MCP Server integration is available on KeywordsPeopleUse Standard plan and above. Go to KeywordsPeopleUse Settings to get the API key. Press Show key, copy the key, and paste it inside the .env file, so the file looks like this:

KPU_API_KEY=sk_01234567890123456789012345678901

Install dependencies

npm install

Running on Cursor

To configure Firecrawl MCP in Cursor v0.45.6

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click "+ Add New MCP Server"
  4. Enter the following:
    • Name: "keywordspeopleuse" (or your preferred name)
    • Type: "command"
    • Command: node /ABSOLUTE/PATH/TO/PARENT/FOLDER/kpu-mcp/index.js

To configure Firecrawl MCP in Cursor v0.48.6

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click "+ Add new global MCP server"
  4. Enter the following code:

On MacOS/Linux

{
  "mcpServers": {
    "keywordspeopleuse": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/PARENT/FOLDER/kpu-mcp/index.js"]
    }
  }
}

On Windows

{
  "mcpServers": {
    "keywordspeopleuse": {
      "command": "node",
      "args": ["C:/PATH/TO/PARENT/FOLDER/kpu-mcp/index.js"]
    }
  }
}

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

On MacOS/Linux

{
  "mcpServers": {
    "keywordspeopleuse": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/PARENT/FOLDER/kpu-mcp/index.js"]
    }
  }
}

On Windows

{
  "mcpServers": {
    "keywordspeopleuse": {
      "command": "node",
      "args": ["C:/PATH/TO/PARENT/FOLDER/kpu-mcp/index.js"]
    }
  }
}

FAQ

What is the KeywordsPeopleUse MCP server?
KeywordsPeopleUse is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for KeywordsPeopleUse?
This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.630 reviews
  • Hassan Abebe· Dec 24, 2024

    According to our notes, KeywordsPeopleUse benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Omar Robinson· Nov 15, 2024

    We wired KeywordsPeopleUse into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Nov 11, 2024

    Useful MCP listing: KeywordsPeopleUse is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Omar Iyer· Oct 6, 2024

    KeywordsPeopleUse is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Dhruvi Jain· Oct 2, 2024

    KeywordsPeopleUse reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Camila Kapoor· Sep 25, 2024

    I recommend KeywordsPeopleUse for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Piyush G· Sep 17, 2024

    KeywordsPeopleUse has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Xiao Rao· Sep 17, 2024

    Strong directory entry: KeywordsPeopleUse surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Kaira Jackson· Aug 16, 2024

    Strong directory entry: KeywordsPeopleUse surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Shikha Mishra· Aug 8, 2024

    According to our notes, KeywordsPeopleUse benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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