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diff --git a/blog/en/breaking-the-integration-barrier-my-journey-with-mcp.mdx b/blog/en/breaking-the-integration-barrier-my-journey-with-mcp.mdx
@@ -11,11 +11,11 @@ authorUsername: "sanchayt743"
 
 If you're looking for a detailed technical walkthrough, I've created an [in-depth MCP implementation tutorial](#) that covers the specifics step by step. But first, let me share my personal journey and insights from working with this transformative protocol.
 
-<Img src="https://iili.io/2OkfMle.md.png" alt="MCP Integration" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/184c81da-c62b-47ba-173b-1fe4d57d4000/full" alt="MCP Integration" />
 
 My first test with the Model Context Protocol focused on database integration. I connected Claude to my local database to see how it would handle table structures and query building. The results were clear:
 
-<Img src="https://iili.io/2OkJatt.md.jpg" alt="Database Integration" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/c2d510d3-a2d5-465a-f10a-1b2f44e70000/full" alt="Database Integration" />
 
 This hands-on experience showed me that MCP wasn't just another layer of abstraction. It was effectively removing the technical barriers I'd been dealing with for years. The problem of fragmented systems extends beyond databases. Every developer I know has faced these same challenges: building custom connectors for each new data source, maintaining separate codebases for different integrations, and losing valuable development time in the process.
 
@@ -24,7 +24,7 @@ This hands-on experience showed me that MCP wasn't just another layer of abstrac
 The potential of this approach caught the attention of the wider development community. Alex Albert, Head of Claude Relations at Anthropic, demonstrated a practical application, showing how MCP enables Claude to interact with multiple services:
 
 
-<Img src="https://iili.io/2OkJ7AN.md.jpg" alt="Claude Integration" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/2d1e2aff-65b7-4e6c-01d6-13b0570d1500/full" alt="Claude Integration" />
 
 These implementations represent a shift in how AI systems interact with our data. Through my work with MCP across different projects, I've found that standardization does more than solve immediate integration problems. It opens up new possibilities for building better, more efficient systems.
 
@@ -43,13 +43,13 @@ This fragmentation creates **real problems**:
 * **Security concerns**: Multiple integration points increase vulnerability
 * **Scaling issues**: Custom solutions often break under load
 
-<Img src="https://iili.io/2OkfVUu.md.png" alt="Integration Workflow" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/17998da3-90c2-4126-9eef-3114f3340600/full" alt="Integration Workflow" />
 
 The real breakthrough comes in how MCP handles these integrations. Instead of building custom connectors for each service, developers can use a standardized approach that works consistently across different data sources. Here's what this looked like when I implemented it with a database:
 
 But the impact goes beyond individual developers. Enterprise teams are already seeing the potential. During the recent Anthropic MCP Hackathon in NYC, developers demonstrated how MCP can meet stringent enterprise requirements:
 
-<Img src="https://iili.io/2OkJYNI.md.jpg" alt="Enterprise Implementation" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/f92c1f7f-d424-4e9b-a395-35bc79714100/full" alt="Enterprise Implementation" />
 
 The solution MCP provides is fundamentally **different** from previous approaches:
 
@@ -60,7 +60,7 @@ The solution MCP provides is fundamentally **different** from previous approache
 
 Alex Albert from Anthropic further demonstrated this simplicity by connecting Claude to an internet search engine:
 
-<Img src="https://iili.io/2OkJ59p.md.jpg" alt="Search Integration" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/8c2a046b-618f-4efb-3e42-94c04b0fd200/full" alt="Search Integration" />
 
 The five-minute implementation time isn't just a marketing claim. It's a direct result of having a standardized protocol that handles the complex parts of AI integration for you.
 
@@ -74,7 +74,7 @@ Success with any new protocol comes down to practical implementation. After solv
 
 During the recent Anthropic MCP Hackathon in NYC, developers showcased how these integrations can meet stringent enterprise requirements. By implementing MCP with proper security certifications like SOC II Type 7 and ISO 32456, they demonstrated that standardized AI integration isn't just for individual developers it's ready for large-scale deployment.
 
-<Img src="https://iili.io/2OkfGf9.md.png" alt="MCP Applications" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/39a95190-7a28-4ba2-7414-aaf88d9c8100/full" alt="MCP Applications" />
 
 **Key benefits:**
 - *Increased development velocity*
@@ -86,7 +86,7 @@ The real power of MCP becomes clear when you look at development velocity. Proje
 
 The implications of this level of integration are significant. Having Claude connect directly to services like Google Drive, Slack, and GitHub through a single protocol fundamentally changes how we think about AI assistance in our development workflow. Instead of context switching between different tools, we're creating a unified environment where AI can access and work with our data naturally.
 
-<Img src="https://iili.io/2OkfhRj.md.png" alt="Development Environment" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/6db1db95-fa61-4149-f049-9b42a3318300/full" alt="Development Environment" />
 
 Development environments now provide AI assistance with full context awareness. This means your AI assistant understands not just the code you're working on, but the entire project context, documentation, and related resources. When you remove the friction of custom integrations, you can focus on building features that actually matter to your users.
 
@@ -102,7 +102,7 @@ Getting started with MCP is remarkably straightforward. When I first began explo
 
 The foundation of any MCP implementation starts with the Claude Desktop app. This gives you immediate access to pre-built MCP servers, allowing you to experiment with integrations before diving into custom development. I recommend starting with a single data source you work with frequently. In my case, this was a local database, but you might choose a GitHub repository or document storage system.
 
-<Img src="https://iili.io/2OkfXHb.md.gif" alt="MCP Guide" />
+<Img src="https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/003ad3af-cc11-4848-e6d6-9f566c9d0e00/full" alt="MCP Guide" />
 
 **Essential steps:**
 1. Start with the Claude Desktop app

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