What are the system requirements?
Python 3.11 or higher is required. You also need an active kwrds.ai API key.
@mkotsollaris
Basic information
Model Context Protocol server for kwrds.ai keyword research and SEO tools.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"kwrds-ai": {
"command": "python3",
"args": [
"/path/to/this/project/run_server.py"
],
"env": {
"KWRDS_API_KEY": "your-api-key-here"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
The Kwrds.ai Seo Keyword Research And Serp Mcp server is a Model Context Protocol (MCP) integration for kwrds.ai, providing keyword research and SEO tools. It enables MCP clients like Claude, Cursor, or ChatGPT to access keyword volumes, SERP analysis, People Also Ask questions, and AI content generation.
Requires Python 3.11+ and an API key from kwrds.ai. Install dependencies with pip install -r requirements.txt, then add the server to your MCP client's desktop config (e.g., Claude/claude_desktop_config.json) with the KWRDS_API_KEY environment variable pointing to run_server.py. Restart the client and ask natural-language queries such as “Find keywords for ‘digital marketing’ in the US” or “What does example.com rank for?”
Python 3.11 or higher is required. You also need an active kwrds.ai API key.
Visit [kwrds.ai](https://www.kwrds.ai/api/documentation/API_Key_Setup) and follow the API key setup documentation.
Yes. It returns SERP analysis, People Also Ask questions, AI content outlines (including 7W1H), URL ranking data, and usage statistics.
Add the server definition to your client’s desktop config (e.g., `claude_desktop_config.json`) with the `command` set to `python3`, `args` pointing to `run_server.py`, and an `env` object containing your `KWRDS_API_KEY`.
Authentication is done via the `KWRDS_API_KEY` environment variable. The README does not mention rate limits or other restrictions. The server connects to the kwrds.ai API over the internet.
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