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Kwrds Ai MCP

The MCP server project of kwrds.ai provides model context protocol services for keyword research and SEO tools, supporting integration with multiple clients.
2 points
1

What is the kwrds.ai MCP server?

The kwrds.ai MCP server is a bridge connecting AI models with kwrds.ai's keyword research and SEO tools. It allows AI models to access powerful keyword analysis, search result analysis, and content generation functions through the MCP protocol.

How to use the kwrds.ai MCP server?

Simply configure the server in an AI client that supports the MCP protocol (such as Claude, Cursor, or ChatGPT), and you can obtain keyword data, ranking information, and content suggestions through natural language queries.

Applicable scenarios

Suitable for users who need to conduct keyword research, SEO optimization, content creation, and competitor analysis. Particularly suitable for marketers, content creators, and website administrators.

Main features

Keyword researchProvide detailed information such as the search volume and competitiveness of keywords to help select the best keywords.
SERP analysisAnalyze the search engine results page for specific keywords to understand the ranking of competitors.
People Also Ask questionsGet common questions related to a specific topic, which is helpful for content planning and SEO optimization.
AI content generationAutomatically generate high-quality content outlines and articles based on keywords.
URL ranking analysisCheck the ranking of a specific website in search engines to evaluate the SEO effect.
Usage statisticsProvide data analysis on the usage frequency and trends of keywords.

Advantages and limitations

Advantages
Improve the efficiency of keyword research and save time on manual analysis
Provide rich SEO data to support decision-making
Easy to integrate into mainstream AI clients
Limitations
An API key is required to use the service
Some advanced features may require a paid subscription

How to use

Get an API key
Go to the kwrds.ai official website to apply for an API key, which is a necessary condition for using the server.
Install dependencies
Run the command `pip install -r requirements.txt` to install the necessary Python libraries.
Configure the MCP client
Add the kwrds.ai server configuration to an AI client that supports MCP, and specify the script path and API key.
Restart the client
Restart the AI client after completing the configuration to make the new settings take effect.

Usage examples

Find keywordsA user wants to find keywords related to 'digital marketing' to optimize website content.
Get common questionsA user wants to know common questions related to 'SEO tools' to optimize the content structure.
Generate an SEO outlineA user needs to generate an SEO-optimized content outline for 'best laptops'.

Frequently Asked Questions

What preparations do I need to use the kwrds.ai MCP server?
How to update the API key?
How to solve the problem if an error occurs?

Related resources

kwrds.ai API documentation
Official documentation for obtaining API keys and usage instructions
MCP protocol blog post
Understand the working principle and usage of the Model Context Protocol (MCP)
kwrds.ai official website
Visit the kwrds.ai homepage to get more product and service information
Installation
Copy the following command to your Client for configuration
{
     "mcpServers": {
       "kwrds-ai": {
         "command": "python3",
         "args": ["/path/to/this/project/run_server.py"],
         "env": {
           "KWRDS_API_KEY": "your-api-key-here"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.
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