Merge pull request modelcontextprotocol#117 from modelcontextprotocol/zack-lee/changelog

Added a Whats New page

Author: zckly

development/updates.mdx

@@ -0,0 +1,19 @@
+---
+title: "What's New"
+description: 'The latest updates and improvements to MCP'
+---
+
+<Update label="2025-01-18" description="SDK and Server Improvements">
+  - Simplified, express-like API in the [TypeScript SDK](https://github.com/modelcontextprotocol/typescript-sdk)
+  - Added 8 new clients to the [clients page](https://modelcontextprotocol.io/clients)
+</Update>
+
+<Update label="2025-01-03" description="SDK and Server Improvements">
+  - FastMCP API in the [Python SDK](https://github.com/modelcontextprotocol/python-sdk)
+  - Dockerized MCP servers in the [servers repo](https://github.com/modelcontextprotocol/servers)
+</Update>
+
+<Update label="2024-12-21" description="Kotlin SDK released">
+  - Jetbrains released a Kotlin SDK for MCP!
+  - For a sample MCP Kotlin server, check out [this repository](https://github.com/modelcontextprotocol/kotlin-sdk/tree/main/samples/kotlin-mcp-server)
+</Update>

introduction.mdx

@@ -3,6 +3,8 @@ title: Introduction
 description: 'Get started with the Model Context Protocol (MCP)'
 ---
 
+<Note>Kotlin SDK released! Check out [what else is new.](/development/updates)</Note>
+
 MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
 
 ## Why MCP?

mint.json

@@ -78,7 +78,11 @@
     },
     {
       "group": "Development",
-      "pages": ["development/roadmap", "development/contributing"]
+      "pages": [
+        "development/updates",
+        "development/roadmap",
+        "development/contributing"
+      ]
     }
   ],
   "footerSocials": {