diff --git a/documentation/blog/2025-04-22-mcp-is-rewriting-the-rules-of-api-integration/index.md b/documentation/blog/2025-04-22-mcp-is-rewriting-the-rules-of-api-integration/index.md
index 2355ee91..4298dab8 100644
--- a/documentation/blog/2025-04-22-mcp-is-rewriting-the-rules-of-api-integration/index.md
+++ b/documentation/blog/2025-04-22-mcp-is-rewriting-the-rules-of-api-integration/index.md
@@ -148,3 +148,17 @@ A: There's a learning curve associated with any technology. This can be compound
Q: **How mature and production-ready is MCP for enterprise-level AI integration?**
A: Your approach on this may vary depending on whether you're building your own MCP server, or whether you're using third-party MCP servers in your integration. Developers should evaluate all of the benefits of MCP and consider the work being done around security and data privacy. Focus on a small pilot project or non-critical system initially to assess its suitability for your specific needs. Stay updated on [MCP's development roadmap](https://modelcontextprotocol.io/development/roadmap) and community feedback.
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