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How to Use MCP (Model Context Protocol) to Connect AI to Your CMS

MCP lets AI assistants interact with external tools. Learn how to connect Claude Desktop to your CMS for AI-powered content management.

R

ruben

What Is MCP?

Model Context Protocol (MCP) is an open standard for connecting AI assistants to external tools and data sources. It lets Claude, ChatGPT, and other AI models interact with your CMS — creating posts, managing content, and querying analytics through natural language.

How MCP Works with a CMS

An MCP server exposes your CMS operations as "tools" that AI can call:

  • create_post — Create a new blog post with title, content, tags
  • list_posts — Query published posts with filters
  • update_post — Edit existing content
  • get_analytics — Fetch traffic and performance data
  • generate_content — Use the CMS AI writer to generate drafts

Setup with Claude Desktop

// claude_desktop_config.json\n{\n  "mcpServers": {\n    "rankflo": {\n      "command": "node",\n      "args": ["/path/to/rankflo-mcp/dist/index.js"],\n      "env": {\n        "RANKFLO_API_KEY": "sk_live_your_key",\n        "RANKFLO_URL": "https://app.rankflo.io"\n      }\n    }\n  }\n}

Use Cases

  • "Create a blog post about headless CMS benefits" → AI writes and publishes via MCP
  • "What were my top 10 posts last month?" → AI queries analytics
  • "Schedule 5 posts for next week about SEO" → AI batch-creates scheduled content