Automating Blog Publishing with MCP and Claude: FileSystem & Dev.to Local Connector Explained in 2026

Senthilnathan S2 hours ago

0 5 4 minutes read

Automating Blog Publishing with MCP and Claude

Artificial Intelligence in 2026 is not just about generating content — it is about building intelligent workflows like Automating Blog Publishing with MCP and Claude

As developers and creators, we don’t just want AI to write.
We want AI to:

Create files
Refine content
Convert formats
Save locally
Publish automatically
Integrate with platforms

That’s exactly where Model Context Protocol (MCP) combined with Claude becomes powerful.

In this article, I’ll walk you through how I:

Used MCP with Claude
Created blog content locally
Converted it to Markdown
Used a local Dev.to connector
Automatically published it to Dev.to

Everything works locally for now — and in my next blog, I’ll cover the remote connector version.

This is a practical, real-world implementation, Automating Blog Publishing with MCP and Claude

1️⃣ Advantages of MCP and Claude

What is MCP?

Model Context Protocol (MCP) allows AI models like Claude to interact with tools in a structured way.

Instead of just responding with text, the model can:

Read files
Write files
Call APIs
Execute workflows
Use external connectors

It turns AI into an actionable agent.

Why Claude + MCP is Powerful

Claude brings:

Strong reasoning
Clean structured output
Markdown-friendly formatting
Reliable instruction following
Low hallucination compared to generic workflows

When combined with MCP:

Without MCP	With MCP
AI gives text	AI creates files
Manual upload	Automated publishing
Copy-paste	Direct integration
Human dependent	Agent-assisted workflow

This is the shift from AI content generation to AI content automation.

2️⃣ Example Blog Content Creation

The first step was generating the blog content for:

“AI in 2026: Transforming Our World”

From here, I wanted Claude (via MCP) to:

Refine the content
Convert to Markdown
Save as blog.md

3️⃣ Understanding the Local Connectors

Now we enter the most important technical part.

This automation works using two connectors:

FileSystem Connector
devto-platform Connector

Let’s understand each clearly.

Local connectors in Claude:

📂 FileSystem Connector (What It Does)

The FileSystem MCP connector allows Claude to:

Read local files
Write local files
Modify content
Create Markdown files
Work inside allowed directories

In my case, it:

Read blog.txt
Enhanced and refined the content
Created blog.md
Saved it inside the allowed directory

This means Claude is no longer just generating text in chat —
it is directly creating production-ready files.

This is extremely powerful for:

Developers
Technical writers
SaaS founders
AI automation builders

🧠 devto-platform Connector (Local Version)

Next comes the publishing layer.

The devto-platform connector:

Takes Markdown file
Calls Dev.to API
Publishes post
Returns publishing status
Provides final URL

This version works locally.

Repository:
https://github.com/subasen85/mcp-devto-local

📄 claude_desktop_config File Explained

Now let’s talk about configuration.

claude_desktop_config configuration for FileSystem and devto-platform connectors.

The config file defines:

"mcpServers": {
  "filesystem": {...},
  "devto-platform": {...}
}

It tells Claude:

Which connectors exist
Where they are located
How to run them
Which directory they can access

This ensures:

Secure execution
Controlled file access
Local environment safety

This is important because MCP enforces directory boundaries.

4️⃣ The Local Connector Code

The devto-platform connector handles:

API authentication
Markdown parsing
Dev.to POST request
Response handling

It connects Claude’s output to Dev.to’s publishing endpoint.

This removes:

Manual login
Manual paste
Manual formatting
Manual publishing

Everything becomes programmable.

5️⃣ The Prompt and Workflow

Now comes the interesting part — the actual prompt.

Initial prompt instructing Claude to refine and convert blog.txt into Markdown.

The prompt instructed Claude to:

Read blog.txt
Improve content
Convert to Markdown
Save as blog.md

Why Markdown is Powerful

Markdown is ideal because:

Dev.to supports Markdown
GitHub supports Markdown
Easy formatting
SEO friendly
Portable format
Version control friendly

Advantages of Markdown file:

Clean heading structure
Easy image embedding
Fast publishing
Compatible with static site generators
Lightweight

This makes Markdown the perfect bridge between AI and publishing platforms.

6️⃣ The Result and Next Prompt

After execution:

The system created:

blog.md

Second prompt instructing Claude to publish the Markdown file to Dev.to.

This prompt triggered:

devto-platform connector
Publishing workflow
Live deployment

7️⃣ Publishing Result

And here’s the result.

Publishing confirmation from the devto-platform connector.

This is Automating Blog Publishing with MCP and Claude !!!

Live Dev.to article successfully published.

Live URL:
https://dev.to/senthilnathan_s_a2e751c8d/ai-in-2026-transforming-our-world-1fi0

This confirms:

Connector worked
API worked
Markdown parsed correctly
Publishing status returned

This is real automation — not a demo.

8️⃣ Current Limitation (Local Only)

Right now:

The devto-platform connector works only locally.

That means:

Must run on your machine
Requires local config
Not yet deployed as remote MCP server

In my next blog, I’ll build:

Remote devto-platform MCP connector

That will allow:

Cloud-based automation
Remote publishing
Multi-user usage
SaaS possibility

9️⃣ Why This Matters in 2026

AI is moving from:

Chatbots → Agents → Autonomous workflows

MCP enables:

Structured tool calling
Controlled automation
Production-ready AI integration

Claude enables:

Clean structured output
Reliable execution
Developer-friendly workflows

Together, they allow you to build:

AI blogging automation
AI SaaS
AI-powered developer tools
Autonomous content engines

This is not theory.

This is practical AI engineering.

🔥 SEO Benefits of This Setup

Using MCP Dev.to Automation:

Faster publishing
Consistent formatting
Improved content quality
Structured headings
Easy keyword placement
Markdown SEO optimization
Lower human error

This is ideal for:

Tech bloggers
Indie hackers
SaaS founders
Developer creators

❓ FAQ Section

1. What is MCP in simple terms?

MCP (Model Context Protocol) allows AI models like Claude to interact with tools such as file systems and APIs.

2. Why use FileSystem connector?

It allows Claude to read and write files locally, enabling true automation beyond chat responses.

3. Does the devto-platform connector work remotely?

Currently, it works locally. A remote version is planned.

4. Why use Markdown instead of plain text?

Markdown ensures structured formatting, Dev.to compatibility, SEO readiness, and portability.

5. Can this be extended into a SaaS?

Yes. By converting the local connector into a remote MCP server, it can become a SaaS publishing automation tool.

🏁 Final Thoughts

This workflow demonstrates something important:

AI is no longer just content generation.

It is system automation.

Using MCP Dev.to Automation with Claude, we built:

Content refinement pipeline
Markdown conversion
File creation
API publishing
Complete automation loop

This is how blogging evolves in 2026.

Published by TechToGeek.com

If you are interested in this article or want to collaborate, feel free to get in touch.
I am available in the Contact Us section.

Thank you for reading.

Automating Blog Publishing with MCP and Claude: FileSystem & Dev.to Local Connector Explained in 2026

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