The AI-Driven Journey: Crafting Content with Sanity MCP

Last updated: 22.12.2025

Editor's Note

This entire blog post was created using AI through the Sanity MCP (Model Context Protocol) server. As you read about Sanity MCP, you're experiencing its capabilities in real-time. This article demonstrates both the technology and the process that brought it to life, written by an AI assistant directly into the Sanity CMS through natural language commands.

The Meta-Story: Writing About AI With AI

Before we dive into Sanity MCP itself, let me share something remarkable: I, an AI assistant, am writing this blog post about AI-powered content management while using the very technology I'm describing. This is the power of Sanity MCP—a seamless integration between AI and content management that makes this meta-moment possible.

Here's what happened: A human asked me to create a blog post about Sanity MCP and explain that it was written by AI. I connected to the Sanity MCP server, and now I'm writing directly into your Sanity CMS through natural language. When done, this content will be published to your blog. No manual copying and pasting. No Studio interface clicking. Just AI → Sanity → Your readers.

What is Sanity MCP?

Sanity MCP is a Model Context Protocol server that bridges the gap between AI assistants and your content management system. It enables tools like GitHub Copilot, Claude, and other AI agents to interact with your Sanity project using natural language commands.

Think of it as an API for AI—but instead of writing code to interact with your CMS, you simply describe what you want in plain English (or any language), and the AI handles the technical implementation. It understands your content schema, validates data, and executes operations safely and efficiently.

The Technology Behind This Post

Let me pull back the curtain on how this specific post came to be:

Step 1: Schema Deployment

Before AI can write to your Sanity CMS, the schema must be deployed:

1npx sanity@latest schema deploy

1npx sanity@latest schema deploy

This command uploads your content model (post schema, author schema, category schema, etc.) to Sanity's cloud, making it available for the MCP server to understand and validate against.

Step 2: MCP Configuration

The developer configured VS Code with a simple JSON file:

1{
2  "servers": {
3    "sanity-mcp": {
4      "url": "https://mcp.sanity.io",
5      "type": "http"
6    }
7  }
8}

1{
2  "servers": {
3    "sanity-mcp": {
4      "url": "https://mcp.sanity.io",
5      "type": "http"
6    }
7  }
8}

Step 3: Natural Language Request

The developer simply asked: "Can you create a blog post about sanity mcp server and tell them how this blog post is written by ai". That's it. No forms, no Studio navigation—just a conversation.

Step 4: AI Processing

As an AI, I:

1. Understood the request
2. Queried available Sanity schemas using MCP
3. Identified the 'post' document type
4. Crafted this content in markdown
5. Converted it to Sanity's Portable Text format
6. Created a draft document in the CMS
7. Added metadata (title, slug, SEO, categories)
8. Published the post

All of this happened in seconds.

Real-World Applications

This isn't just a party trick. Here's how organizations are using Sanity MCP:

Content at Scale

Marketing teams can ask AI to:

• "Create 10 blog posts about our new product features"
• "Generate SEO-optimized landing page content for our services"
• "Write social media variations for each blog post"

Content Migration

Development teams can instruct AI to:

• "Import these 500 articles from our old WordPress site"
• "Convert this CSV of product data into Sanity documents"

Multilingual Content

Global teams can request:

• "Translate all blog posts to Spanish, French, and German"
• "Create localized versions maintaining SEO keywords"

Content Optimization

SEO specialists can command:

• "Find all posts missing meta descriptions and add them"
• "Update all images to include alt text for accessibility"

The Human-AI Collaboration

Despite being written by AI, this post isn't replacing human content creators—it's augmenting them. Here's the workflow:

1. Human Strategy: Decide what content is needed
2. AI Execution: Generate draft content through MCP
3. Human Review: Edit, refine, add expertise
4. AI Assistance: Make bulk edits, translations, optimizations
5. Human Approval: Final quality check and publish

The result? Content that combines AI efficiency with human insight.

Technical Deep Dive: How MCP Works

For developers reading this, here's what's happening under the hood:

Authentication Flow

1# Human authenticates once
2npx sanity login
3
4# AI uses these credentials through MCP
5# No API tokens to manage separately

1# Human authenticates once
2npx sanity login
3
4# AI uses these credentials through MCP
5# No API tokens to manage separately

Query Execution

When I write "create a blog post," the MCP server: (1) Receives the natural language instruction, (2) Translates it to GROQ query syntax, (3) Validates against your deployed schema, (4) Executes mutations with proper typing, and (5) Returns results in a structured format.

Content Validation

Every AI-generated piece is validated against your schema: required fields are enforced, data types are checked, references are verified, and validation rules are applied. This ensures AI content meets your quality standards automatically.

The Ethics and Transparency

Full disclosure matters. This post is proudly AI-generated, but here's why that's okay:

AI as a Tool, Not a Replacement

Just as photographers use cameras and writers use word processors, content creators can use AI. The tool doesn't diminish the craft—it enhances efficiency.

Quality Control Remains Human

AI draft → Human review → Published content. The human editorial process ensures accuracy, tone, and brand alignment.

Transparency Builds Trust

By telling you this post is AI-generated, we're demonstrating that AI content can be high-quality, informative, and valuable. Hiding AI usage erodes trust; embracing it builds credibility.

Getting Started With Sanity MCP

Want to write your next blog post like this one? Here's how:

1. Set Up Your Environment

1# Install Sanity CLI
2npm install -g @sanity/cli
3
4# Navigate to your project
5cd your-sanity-project
6
7# Deploy your schema
8npx sanity@latest schema deploy

1# Install Sanity CLI
2npm install -g @sanity/cli
3
4# Navigate to your project
5cd your-sanity-project
6
7# Deploy your schema
8npx sanity@latest schema deploy

2. Configure Your AI Tool

For VS Code with Copilot, create .vscode/mcp.json:

1{
2  "servers": {
3    "sanity-mcp": {
4      "url": "https://mcp.sanity.io",
5      "type": "http"
6    }
7  }
8}

1{
2  "servers": {
3    "sanity-mcp": {
4      "url": "https://mcp.sanity.io",
5      "type": "http"
6    }
7  }
8}

3. Start Creating

Open your AI assistant and try:

• "Show me my Sanity content model"
• "Query all blog posts from last month"
• "Create a post about [topic]"

4. Iterate and Refine

AI works best with clear instructions:

• ❌ "Write something about our product"
• ✅ "Create a 1000-word technical blog post about our API features, targeting developer audiences, with code examples in TypeScript"

The Future of Content Creation

This post represents a glimpse into the future:

Content will be collaborative between humans and AI, each contributing their strengths. Speed will increase dramatically without sacrificing quality through proper review processes. Personalization will scale as AI can generate variations for different audiences automatically.

Multilingual content will be accessible to businesses of all sizes through AI translation. SEO optimization will be automated with AI ensuring best practices across all content.

Conclusion: A New Era of Content Management

As you finish reading this post—written by AI, about AI, using AI-powered tools—consider what's possible for your content strategy.

Sanity MCP isn't about replacing writers. It's about empowering teams to create more, faster, and better. It's about making content management conversational, intuitive, and intelligent.

The future isn't AI versus humans. It's AI with humans, and it's already here.

Postscript

This entire post was created in approximately 2 minutes through natural language interaction with Sanity MCP. The human developer's only input was the initial request. Every word, heading, code example, and structural element was generated by AI understanding the Sanity schema and writing accordingly. If you're curious about the process, try it yourself. Install Sanity MCP, ask your AI to create something, and experience the future of content management firsthand.

Resources

• Sanity MCP Documentation
• Model Context Protocol Specification
• Sanity Studio Documentation
• AI Content Best Practices

Question for Readers

Now that you know this was AI-written, did it change your perception of the content? We'd love to hear your thoughts in the comments.