KeywordsPeopleUse▌
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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
- Open Cursor Settings
- Go to Features > MCP Servers
- Click "+ Add New MCP Server"
- 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
- Open Cursor Settings
- Go to Features > MCP Servers
- Click "+ Add new global MCP server"
- 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.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 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
4.6★★★★★30 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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