KeywordsPeopleUse MCP Server

What does “KeywordsPeopleUse” MCP Server do?

The KeywordsPeopleUse MCP Server is a Model Context Protocol (MCP) server that connects AI assistants to the KeywordsPeopleUse platform for advanced keyword research capabilities. By serving as a bridge between AI clients and the KeywordsPeopleUse API, it enables LLMs and AI tools to programmatically access keyword insights such as “People Also Ask” questions, Google autocomplete suggestions, Reddit and Quora topic questions, and semantic keyword data. This integration streamlines keyword research workflows directly within development and productivity tools, empowering developers and content creators to automate and enhance SEO research, content ideation, and market analysis processes.

List of Prompts

No explicit prompt templates are mentioned in the repository documentation or code.

List of Resources

No explicit MCP resources are described in the repository documentation or code.

List of Tools

• Get People Also Ask questions
  • Retrieves related “People Also Ask” questions from Google for given keywords.
• Get Google Autocomplete suggestions
  • Returns autocomplete keyword suggestions from Google.
• Get Reddit and Quora questions
  • Fetches relevant questions from Reddit and Quora for research and content ideas.
• Get Semantic Keywords
  • Provides semantically related keywords to expand keyword targeting.

Use Cases of this MCP Server

• SEO Keyword Research
  Developers and marketers can automate the collection of high-value keywords, related searches, and question ideas directly within their workflow tools for efficient SEO planning.
• Content Ideation
  Use the MCP server to access real-world questions from Reddit and Quora, fueling content strategy and blog post outlines based on actual user queries.
• Competitor Analysis
  Retrieve autocomplete and semantic keyword data to analyze competitor content gaps and identify new market opportunities.
• Automated Reporting
  Integrate with internal dashboards or reporting tools to fetch the latest keyword trends and “People Also Ask” data for regular updates.
• AI-Powered Writing Tools
  Enhance AI writing assistants by providing them with fresh, relevant keyword data and user questions for context-rich content generation.

How to set it up

Windsurf

No setup instructions for Windsurf are provided in the repository.

Claude

1. Obtain your KeywordsPeopleUse API key (Standard plan or above).
2. In Claude Desktop, go to Settings > Developer > Edit Config.
3. Add the following JSON, replacing YOUR_API_KEY with your actual API key:

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

4. Restart Claude Desktop.
5. Verify the tools become available in your Claude environment.

Securing API Keys

Store your API key in an environment variable or in the .env file as follows:

KPU_API_KEY=sk_01234567890123456789012345678901

Example config to reference env variable:

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

Cursor

On MacOS/Linux

1. Clone the repository and install dependencies:

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

2. Obtain your API key and set it in .env.
3. Open Cursor Settings.
4. Go to Features > MCP Servers > “+ Add New MCP Server”.
5. Enter:
   • Name: “keywordspeopleuse”
   • Type: “command”
   • Command: node /ABSOLUTE/PATH/TO/PARENT/FOLDER/kpu-mcp/index.js
6. Save and restart Cursor.

JSON Example:

{
  "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"]
    }
  }
}

Cline

No setup instructions for Cline are provided in the repository.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "keywordspeopleuse": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “keywordspeopleuse” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

| Roots Support | ⛔ | Not mentioned |

Based on the available documentation, this MCP server is functional and relatively easy to set up, but lacks detailed developer documentation, sample prompt templates, and explicit listing of MCP primitives like roots, resources, or sampling support. For essential keyword research automation, it covers the basics but could be improved in documentation breadth and MCP-compliance clarity.

Our opinion

MCP Score: 4/10
It enables practical keyword research and basic MCP tool functionality but is missing deeper MCP features, resource exposure, and has minimal documentation and community support.

MCP Score