AI-powered SEO and marketing intelligence — keyword research, SERP analysis, backlink checking, and content optimization for any website.
AI-powered SEO and marketing intelligence — keyword research, SERP analysis, backlink checking, and content optimization for any website.
AI-powered SEO and marketing intelligence tools via the Model Context Protocol (MCP). Give your AI assistant the ability to research keywords, analyze SERPs, check backlinks, and optimize content for search engines — all in real time.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| keyword_research | Research keyword opportunities — search volume indicators, difficulty, related terms, content suggestions |
| analyze_serp | Analyze search engine results — top ranking pages, content patterns, ranking opportunity assessment |
| check_backlinks | Analyze backlink profile — referring domains, anchor text, link quality, link building opportunities |
| optimize_content | On-page SEO analysis — keyword density, readability, structure, meta tags, improvement suggestions |
{
"mcpServers": {
"seo-marketing": {
"url": "https://seo.ezbizservices.com/mcp",
"headers": {
"x-api-key": "YOUR_API_KEY"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| ADMIN_SECRET | Credential the server authenticates with. | Yes |
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.