alsoasked-mcp: An MCP Server for AlsoAsked API and SEO Keyword Research

alsoasked-mcp: An MCP Server for AlsoAsked API and SEO Keyword Research

Summary

The alsoasked-mcp project provides a Model Context Protocol (MCP) server that integrates with the AlsoAsked API. This server allows users to access Google's "People Also Ask" data, making it a valuable tool for SEO research and content optimization. It offers features like searching PAA questions, managing API accounts, and flexible search options.

Repository Info

Updated on April 4, 2026
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Introduction

The alsoasked-mcp project is a Model Context Protocol (MCP) server designed to integrate seamlessly with the AlsoAsked API. This powerful tool provides access to Google's "People Also Ask" (PAA) data, making it an invaluable resource for SEO research and content optimization strategies. By leveraging alsoasked-mcp, users can efficiently gather hierarchical PAA data for various search terms, manage their API credits, and configure flexible search options.

Key features include:

  • Search People Also Ask Questions: Retrieve structured PAA data for any given search terms.
  • Account Management: Easily check your AlsoAsked API credits and account status.
  • Flexible Search Options: Customize searches with parameters for language, region, depth, and freshness.
  • Rich Data Structure: Receive results in a well-formatted structure, including question hierarchy and counts.

Installation

Getting alsoasked-mcp up and running involves a few straightforward steps:

1. Install Dependencies

First, navigate to the project directory and install the necessary Node.js dependencies:

npm install

2. Build the Project

Next, build the project for production:

npm run build

3. Get AlsoAsked API Key

To use the AlsoAsked API, you will need an API key:

  1. Sign up for an AlsoAsked Pro account.
  2. Generate an API key from your AlsoAsked dashboard.
  3. Ensure your API key is kept secure.

4. Add to Claude Configuration

Integrate the MCP server into your Claude environment by adding the following configuration to your claude_desktop_config.json file. Remember to replace /path/to/your/alsoasked-mcp/dist/index.js with the actual path to your built project and "your-api-key-here" with your generated AlsoAsked API key.


{
  "mcpServers": {
    "alsoasked": {
      "command": "node",
      "args": ["/path/to/your/alsoasked-mcp/dist/index.js"],
      "env": {
        "ALSOASKED_API_KEY": "your-api-key-here"
      }
    }
  }
}

5. Restart Claude Desktop

After updating the configuration, restart Claude Desktop to ensure the new MCP server is loaded and recognized.

Examples

The alsoasked-mcp server provides three primary tools for interacting with the AlsoAsked API.

search_people_also_ask

This tool allows comprehensive searches for PAA questions with full control over various parameters:


// Example: Search for marketing questions in Spanish for Mexico
{
  "terms": ["digital marketing", "content strategy"],
  "language": "es",
  "region": "mx", 
  "depth": 3,
  "fresh": true
}

search_single_term

A convenient method for performing quick searches for a single term:


// Example: Quick search for a single term
{
  "term": "machine learning",
  "depth": 2
}

get_account_info

Use this tool to check your AlsoAsked account status and view your remaining API credits:


// No parameters needed
{}

You can also ask Claude directly using natural language queries, for example:

"Use AlsoAsked to find People Also Ask questions for 'sustainable energy' with depth 3"

"Get PAA data for SEO keyword research on 'home workout equipment' in the UK market"

"Check my AlsoAsked account credits and usage"

Why Use It

alsoasked-mcp offers significant advantages for anyone involved in SEO, content creation, or digital marketing. By providing direct access to Google's "People Also Ask" data, it helps you:

  • Enhance Keyword Research: Discover related questions and user intent beyond simple keywords.
  • Improve Content Strategy: Identify topics and subtopics that directly address user queries, leading to more comprehensive and engaging content.
  • Gain Competitive Advantage: Understand what questions your audience is asking, allowing you to create content that outranks competitors.
  • Streamline Workflow: Integrate PAA data retrieval directly into your AI assistant workflow via the Model Context Protocol.
  • Optimize Costs: With flexible depth parameters, you can control the granularity of your searches and manage API query costs effectively.

Links

For more detailed information and support, refer to these official resources: