[Agentic Search 3.3] Using External MCP Tools with Agentic Search

_vector-search/ai-search/agentic-search/agent-converse.md

@@ -103,7 +103,7 @@ POST /_plugins/_ml/models/_register
 
 Register a conversational agent with multiple tools---`ListIndexTool` to discover available indexes, `IndexMappingTool` to understand index structure, `WebSearchTool` for external data access, and the required `QueryPlanningTool` to generate OpenSearch DSL.
 
-See [Customizing agentic search agents]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/agent-customization/) for advanced configurations. The agent must include a `QueryPlanningTool`:
+See [Configuring agentic search agents]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/agent-customization/) for basic configurations. The agent must include a `QueryPlanningTool`:
 
 ```json
 POST /_plugins/_ml/agents/_register
@@ -383,4 +383,4 @@ The first query will likely generate more complex DSL with sorting and aggregati
 
 - [Agentic query translator processor]({{site.url}}{{site.baseurl}}/search-plugins/search-pipelines/agentic-query-translator-processor/) -- Learn more about the request processor that translates natural language queries into OpenSearch DSL.
 - [Agentic context processor]({{site.url}}{{site.baseurl}}/search-plugins/search-pipelines/agentic-context-processor/) -- Learn more about the response processor that adds agent execution context information for monitoring and conversation continuity.
-- [Customizing agentic search agents]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/agent-customization/) -- Configure advanced agent behaviors with different models, tools, and prompts.
+- [Configuring agentic search agents]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/agent-customization/) -- Configure agent behaviors with different models, tools, and prompts.

_vector-search/ai-search/agentic-search/agent-customization.md

@@ -1,15 +1,15 @@
 ---
 layout: default
-title: Customizing agents
+title: Configuring agents
 parent: Agentic search
 grand_parent: AI search
 nav_order: 10
 has_children: false
 ---
 
-# Customizing agentic search agents
+# Configuring agentic search agents
 
-You can customize agentic search agents by configuring their models, tools, and prompts:
+You can configure agentic search agents by customizing their models, tools, and prompts:
 
 - [Model configuration](#model-configuration): Choose different large language models (LLMs) optimized for various tasks.
 - [Tool orchestration](#tool-orchestration): Combine multiple tools for automated workflows.
@@ -250,7 +250,7 @@ To customize the `QueryPlanningTool` prompt, see [`QueryPlanningTool`]({{site.ur
 
 ### System prompt optimization
 
-Customize your agent's behavior with tailored system prompts that fit for your specific use case.
+Configure your agent's behavior with tailored system prompts that fit for your specific use case.
 
 ### Agent output format
 

_vector-search/ai-search/agentic-search/index.md

@@ -241,14 +241,16 @@ The agentic search request executes the agent with the `QueryPlanningTool` and s
 
 After setting up basic agentic search, you can enhance your implementation with these advanced features:
 
-- [Customize agentic search agents]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/agent-customization/) -- Learn how to customize your agentic search agent with different models, tools, and configurations.
+- [Configure agentic search agents]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/agent-customization/) -- Learn how to configure your agentic search agent with different models, tools, and configurations.
 
 - [Use flow agents]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/flow-agent/) -- Use streamlined flow agents for faster, more cost-effective query planning when you don't need conversation memory or complex tool orchestration.
 
 - [Configure semantic search]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/neural-search/) -- Configure agents to automatically choose between keyword and semantic vector searches based on user intent, providing more relevant results for conceptual questions.
 
 - [Add search templates]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/search-templates/) -- Add predefined search templates to handle complex query patterns that would be challenging for LLMs to generate consistently, ensuring predictable query structure and improved reliability.
 
+- [Connect external MCP servers]({{site.url}}{{site.baseurl}}/vector-search/ai-search/agentic-search/mcp-server/) -- Extend agentic search with external tools and data sources through Model Context Protocol (MCP) servers for enhanced functionality and real-time information access.
+
 - [Build agentic search flows]({{site.url}}{{site.baseurl}}/vector-search/ai-search/building-agentic-search-flows/) -- Configure agents and execute agentic search using AI search flows in OpenSearch Dashboards. 
 
 ## Next steps