February 7th, 2026

We're excited to announce MCP Server and Skills — two brand-new open-source tools that bring Zutrix directly into your AI workflow. Whether you're using Claude, Cursor, VS Code, Windsurf, or any MCP-compatible AI tool, you can now access your SEO data without leaving your editor or chat.
This is a major step in making Zutrix the most AI-native SEO platform available.
MCP (Model Context Protocol) is an open standard that lets AI tools securely connect to external data sources. With Zutrix MCP Server, your AI assistant becomes your SEO assistant — pulling real-time data from your Zutrix account on demand.
No more copy-pasting between tabs. Just ask your AI tool and get instant answers backed by your own SEO data.
10 powerful tools included:
✅ get_projects — List all your SEO projects
✅ get_project_keywords — View tracked keywords with current rankings
✅ get_keyword_history — See ranking trends over time
✅ get_keyword_suggestions — Discover new keyword opportunities with volume, difficulty, and intent
✅ get_serp_results — Pull real SERP data for any tracked keyword
✅ get_competitors — Analyze competitor domains and keyword gaps
✅ get_backlinks — Review your backlink profile
✅ get_site_audit — Run a full technical SEO audit on any URL
✅ get_domain_overview — Get domain-level metrics at a glance
✅ get_ai_visibility — Check how your brand appears across ChatGPT, Claude, Gemini, and more
1. Install the package:
npm install -g zutrix-mcp-server 2. Add to your AI tool's MCP configuration:
{ "mcpServers": { "zutrix": { "command": "npx", "args": ["-y", "zutrix-mcp-server"], "env": { "ZUTRIX_API_KEY": "your_api_key_here" } } } } 3. Get your API key from Dashboard → Settings → MCP and start using your SEO data in any AI conversation.
That's it. Your AI tool now has full access to your Zutrix data.
Skills are pre-built SEO workflows designed for AI assistants. Instead of figuring out which tools to call and in what order, Skills give your AI a step-by-step playbook for common SEO tasks.
5 skills available at launch:
✅ SEO Audit — Run a comprehensive technical audit and get prioritized recommendations
✅ Keyword Research — Discover opportunities with search volume, difficulty, and competitive analysis
✅ Rank Tracking Report — Generate detailed ranking performance reports across all your projects
✅ Competitor Analysis — Deep-dive into competitor keywords, backlinks, and visibility gaps
✅ Backlink Analysis — Analyze your backlink profile with domain authority and link quality metrics
Skills are open-source and available on GitHub. You can use them as-is or customize them for your own workflows.
MCP Server is compatible with any tool that supports the Model Context Protocol:
✅ Claude Desktop (Anthropic)
✅ Cursor (AI Code Editor)
✅ VS Code (with Copilot MCP support)
✅ Windsurf (Codeium)
✅ Claude Code (CLI)
✅ And any other MCP-compatible client
Your data is always protected:
All communication happens over HTTPS
API key authentication ensures only you can access your data
Every request is scoped to your account and projects only
The MCP Server is open-source — inspect the code anytime on GitHub
Here are just a few examples of what's possible:
"Show me my top 10 keywords that dropped in rankings this week"
"Run a technical SEO audit on our new landing page"
"Compare our backlink profile against our top 3 competitors"
"Find keyword opportunities in the 'project management' niche with low difficulty"
"How visible is our brand in ChatGPT and Gemini right now?"
The possibilities are endless when your SEO data meets AI.
Both projects are fully open-source under the MIT license:
MCP Server: github.com/Zutrix-Technologies/zutrix-mcp-server
We'd love your feedback, contributions, and ideas. Star the repos if you find them useful! ⭐
We believe AI-native SEO is the future, and this is just the beginning. We're building Zutrix to be the platform that meets you wherever you work — whether that's a dashboard, an API, or a conversation with your AI assistant.
— The Zutrix Team