FetchSERP
A Model Context Protocol server that provides AI assistants with access to FetchSERP API capabilities for SEO analysis, SERP data, web scraping, and keyword research.
What is FetchSERP?
FetchSERP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol server that provides ai assistants with access to fetchserp api capabilities for seo analysis, serp data, web scraping, and keyword research.
A Model Context Protocol server that provides AI assistants with access to FetchSERP API capabilities for SEO analysis, SERP data, web scraping, and keyword research.
This server falls under the Marketing & SEO category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol server that provides AI assistants
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx fetchserp-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about FetchSERP
What is FetchSERP?
FetchSERP is a Model Context Protocol (MCP) server that model context protocol server that provides ai assistants with access to fetchserp api capabilities for seo analysis, serp data, web scraping, and keyword research. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install FetchSERP?
Follow the installation instructions on the FetchSERP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with FetchSERP?
FetchSERP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is FetchSERP free to use?
Yes, FetchSERP is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up FetchSERP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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