Merge pull request modelcontextprotocol#623 from modelcontextprotocol/davidsp/fix-docs

Update documentation to reflect server moves to servers-archived

Author: dsp-ant

docs/examples.mdx

@@ -9,32 +9,38 @@ This page showcases various Model Context Protocol (MCP) servers that demonstrat
 
 These official reference servers demonstrate core MCP features and SDK usage:
 
-### Data and file systems
+### Current reference servers
 - **[Filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem)** - Secure file operations with configurable access controls
-- **[PostgreSQL](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres)** - Read-only database access with schema inspection capabilities
-- **[SQLite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite)** - Database interaction and business intelligence features
-- **[Google Drive](https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive)** - File access and search capabilities for Google Drive
-
-### Development tools
-- **[Git](https://github.com/modelcontextprotocol/servers/tree/main/src/git)** - Tools to read, search, and manipulate Git repositories
-- **[GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/github)** - Repository management, file operations, and GitHub API integration
-- **[GitLab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab)** - GitLab API integration enabling project management
-- **[Sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry)** - Retrieving and analyzing issues from Sentry.io
-
-### Web and browser automation
-- **[Brave Search](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search)** - Web and local search using Brave's Search API
 - **[Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)** - Web content fetching and conversion optimized for LLM usage
-- **[Puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer)** - Browser automation and web scraping capabilities
-
-### Productivity and communication
-- **[Slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack)** - Channel management and messaging capabilities
-- **[Google Maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps)** - Location services, directions, and place details
 - **[Memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory)** - Knowledge graph-based persistent memory system
-
-### AI and specialized tools
-- **[EverArt](https://github.com/modelcontextprotocol/servers/tree/main/src/everart)** - AI image generation using various models
 - **[Sequential Thinking](https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking)** - Dynamic problem-solving through thought sequences
-- **[AWS KB Retrieval](https://github.com/modelcontextprotocol/servers/tree/main/src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
+
+### Archived servers (historical reference)
+
+⚠️ **Note**: The following servers have been moved to the [servers-archived repository](https://github.com/modelcontextprotocol/servers-archived) and are no longer actively maintained. They are provided for historical reference only.
+
+#### Data and file systems
+- **[PostgreSQL](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/postgres)** - Read-only database access with schema inspection capabilities
+- **[SQLite](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/sqlite)** - Database interaction and business intelligence features
+- **[Google Drive](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/gdrive)** - File access and search capabilities for Google Drive
+
+#### Development tools
+- **[Git](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/git)** - Tools to read, search, and manipulate Git repositories
+- **[GitHub](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/github)** - Repository management, file operations, and GitHub API integration
+- **[GitLab](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/gitlab)** - GitLab API integration enabling project management
+- **[Sentry](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/sentry)** - Retrieving and analyzing issues from Sentry.io
+
+#### Web and browser automation
+- **[Brave Search](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/brave-search)** - Web and local search using Brave's Search API
+- **[Puppeteer](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/puppeteer)** - Browser automation and web scraping capabilities
+
+#### Productivity and communication
+- **[Slack](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/slack)** - Channel management and messaging capabilities
+- **[Google Maps](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/google-maps)** - Location services, directions, and place details
+
+#### AI and specialized tools
+- **[EverArt](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/everart)** - AI image generation using various models
+- **[AWS KB Retrieval](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
 
 ## Official integrations
 

docs/quickstart/client.mdx

@@ -804,7 +804,7 @@ This is a quickstart demo based on Spring AI MCP auto-configuration and boot sta
 To learn how to create sync and async MCP Clients manually, consult the [Java SDK Client](/sdk/java/mcp-client) documentation
 </Note>
 
-This example demonstrates how to build an interactive chatbot that combines Spring AI's Model Context Protocol (MCP) with the [Brave Search MCP Server](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search). The application creates a conversational interface powered by Anthropic's Claude AI model that can perform internet searches through Brave Search, enabling natural language interactions with real-time web data.
+This example demonstrates how to build an interactive chatbot that combines Spring AI's Model Context Protocol (MCP) with the [Brave Search MCP Server](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/brave-search). The application creates a conversational interface powered by Anthropic's Claude AI model that can perform internet searches through Brave Search, enabling natural language interactions with real-time web data.
 [You can find the complete code for this tutorial here.](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/web-search/brave-chatbot)
 
 ## System Requirements

docs/quickstart/user.mdx

@@ -25,7 +25,7 @@ If you already have Claude for Desktop, make sure it's on the latest version by
 
 ## 2. Add the Filesystem MCP Server
 
-To add this filesystem functionality, we will be installing a pre-built [Filesystem MCP Server](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem) to Claude for Desktop. This is one of dozens of [servers](https://github.com/modelcontextprotocol/servers/tree/main) created by Anthropic and the community.
+To add this filesystem functionality, we will be installing a pre-built [Filesystem MCP Server](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem) to Claude for Desktop. This is one of several current [reference servers](https://github.com/modelcontextprotocol/servers/tree/main) and many community-created servers.
 
 Get started by opening up the Claude menu on your computer and select "Settings..." Please note that these are not the Claude Account Settings found in the app window itself.