by data-skunks
KeywordsPeopleUse: Integrates keyword research (People Also Ask, Autocomplete, Reddit/Quora) with localized semantic key
Connects to KeywordsPeopleUse API to gather keyword research data including autocomplete suggestions, People Also Ask questions, and social platform questions.
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.
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.
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.
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
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
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
Share your MCP server with the developer community
According to our notes, KeywordsPeopleUse benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired KeywordsPeopleUse into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: KeywordsPeopleUse is the kind of server we cite when onboarding engineers to host + tool permissions.
KeywordsPeopleUse is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
KeywordsPeopleUse reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend KeywordsPeopleUse for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
KeywordsPeopleUse has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: KeywordsPeopleUse surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: KeywordsPeopleUse surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, KeywordsPeopleUse benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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A Model Context Protocol (MCP) server implementation that integrates with KeywordsPeopleUse for keyword research features.
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.
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.
git clone https://github.com/data-skunks/kpu-mcp.git
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
npm install
To configure Firecrawl MCP in Cursor v0.45.6
node /ABSOLUTE/PATH/TO/PARENT/FOLDER/kpu-mcp/index.jsTo configure Firecrawl MCP in Cursor v0.48.6
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"]
}
}
}
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"keywordspeopleuse": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/PARENT/FOLDER/kpu-mcp/index.js"]
}
}
}
{
"mcpServers": {
"keywordspeopleuse": {
"command": "node",
"args": ["C:/PATH/TO/PARENT/FOLDER/kpu-mcp/index.js"]
}
}
}
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
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ 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.