Add MCP server visibility (#1075)

- adds a heading for generative AI tools in **APIs & tools** page
- and a subpage under RAG section for MCP

Author: leemthompo

solutions/search/apis-and-tools.md

@@ -60,10 +60,6 @@ These tools are documented in the **Explore & Analyze** section:
 | [Grok Debugger](/explore-analyze/query-filter/tools/grok-debugger.md) | Build and debug grok patterns before you use them in your data processing pipelines. |
 | [Painless Lab](/explore-analyze/scripting/painless-lab.md) | Test and debug Painless scripts in real-time. |
 
-### Playground
-
-Use [Playground](rag/playground.md) to combine your {{es}} data with the power of large language models (LLMs) for retrieval augmented generation (RAG), using a chat interface. Playground is also very useful for testing and debugging your {{es}} queries, using the [retrievers](retrievers-overview.md) syntax with the `_search` endpoint.
-
 ### Search UI
 
 [Elastic Search UI](./site-or-app/search-ui.md) is a library of JavaScript and React tools for building search experiences, optimized for use with {{es}}.
@@ -72,4 +68,18 @@ Use [Playground](rag/playground.md) to combine your {{es}} data with the power o
 Check out the Elasticsearch Labs [blog](https://www.elastic.co/search-labs) to learn how to use Elastic to build advanced search experiences including generative AI, embedding models, reranking capabilities and more.
 
 The accompanying [GitHub repository](https://www.github.com/elastic/elasticsearch-labs) contains hands-on Python notebooks and sample apps to help you get started with these advanced search features.
-:::
+:::
+
+## Generative AI tools
+
+### Playground
+
+Use [Playground](rag/playground.md) to combine your {{es}} data with the power of large language models (LLMs) for retrieval augmented generation (RAG), using a chat interface. Playground is also very useful for testing and debugging your {{es}} queries, using the [retrievers](retrievers-overview.md) syntax with the `_search` endpoint.
+
+### {{es}} Model Context Protocol (MCP) server
+
+Connect to your Elasticsearch data directly from any MCP Client (like Claude Desktop) using the Model Context Protocol (MCP).
+
+This server enables connecting agents to your Elasticsearch data and allows you to interact with your Elasticsearch indices through natural language conversations.
+
+Learn more in the [elastic/mcp-server-elasticsearch](https://github.com/elastic/mcp-server-elasticsearch?tab=readme-ov-file#elasticsearch-mcp-server) GitHub repository.

solutions/search/mcp.md

@@ -0,0 +1,14 @@
+---
+navigation_title: "MCP server"
+applies_to:
+  stack:
+  serverless:
+---
+
+# {{es}} Model Context Protocol (MCP) server
+
+Connect to your Elasticsearch data directly from any MCP Client (like Claude Desktop) using the Model Context Protocol (MCP).
+
+This server enables connecting agents to your Elasticsearch data and allows you to interact with your Elasticsearch indices through natural language conversations.
+
+Learn more in the [elastic/mcp-server-elasticsearch](https://github.com/elastic/mcp-server-elasticsearch?tab=readme-ov-file#elasticsearch-mcp-server) GitHub repository.

solutions/toc.yml

@@ -50,6 +50,7 @@ toc:
               - file: search/rag/playground-context.md
               - file: search/rag/playground-query.md
               - file: search/rag/playground-troubleshooting.md
+          - file: search/mcp.md    
       - file: search/hybrid-search.md
         children:
           - file: search/hybrid-semantic-text.md