Feature meilisearch-mcp as an official AI assistant tool

- Add new "AI Assistant tools" section to the official SDKs page
- Include meilisearch-mcp with link to GitHub repo and guide
- Add cross-reference from conversational search docs to MCP
- Position MCP as an alternative for developers using AI assistants

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

Author: tpayet

learn/ai_powered_search/conversational_search_with_chat.mdx

@@ -65,6 +65,10 @@ Meilisearch's chat completions consolidates these into one streamlined process:
 - Exact matching is critical
 - Response time is paramount
 
+## Alternative: Using AI assistants with MCP
+
+For developers and power users who want to interact with Meilisearch through AI assistants like Claude, consider using the [Meilisearch Model Context Protocol (MCP) server](/guides/ai/mcp). This allows natural language interaction with your Meilisearch instance through desktop AI applications.
+
 ## Architecture overview
 
 The chat completions feature operates through workspaces, which are isolated configurations for different use cases or tenants. Each workspace can:

learn/resources/sdks.mdx

@@ -53,6 +53,11 @@ You can use Meilisearch API wrappers in your favorite language. These libraries
 - [Gatsby plugin](https://github.com/meilisearch/gatsby-plugin-meilisearch/)
 - [Firebase](https://github.com/meilisearch/firestore-meilisearch)
 
+## AI Assistant tools
+
+- [meilisearch-mcp](https://github.com/meilisearch/meilisearch-mcp): Model Context Protocol server for interacting with Meilisearch through AI assistants like Claude
+  - Guide: [Talk to Meilisearch with Claude desktop](/guides/ai/mcp)
+
 ## Other tools
 
 - [docs-scraper](https://github.com/meilisearch/docs-scraper): a scraper tool to automatically read the content of your documentation and store it into Meilisearch.