diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc
index fd362ef6a..8686d6774 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc
@@ -104,7 +104,7 @@
 * xref:api/multimodality.adoc[Multimodality]
 * xref:api/etl-pipeline.adoc[]
 * xref:api/testing.adoc[AI Model Evaluation]
-* xref:api/model-context-protocol.adoc[Model Context Protocol]
+* xref:api/model-context-protocol.adoc[Model Context Protocol (MCP)]
 
 * Service Connections
 ** xref:api/docker-compose.adoc[Docker Compose]
diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/model-context-protocol.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/model-context-protocol.adoc
index 8665079da..7df110c14 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/model-context-protocol.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/model-context-protocol.adoc
@@ -58,7 +58,7 @@ TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section t
 
 The latter builds on top of mcp-core to provide some useful Spring AI abstractions, such as `McpFunctionCallback`. 
 
-Now create an `McpClient` to regester the MCP server tools with your ChatClient and let the LLM call them:
+Now create an `McpClient` to regester the MCP Brave server tools with your ChatClient and let the LLM call them:
 
 [source,java]
 ----
@@ -88,6 +88,7 @@ String response = chatClient
 
 == Example Demos
 
+There is a growing link:https://github.com/modelcontextprotocol/servers[list of MCP Servers] that you can use with Spring AI MCP.
 Explore these MCP examples in the link:https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol[spring-ai-examples/model-context-protocol] repository:
 
 - link:https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/sqlite/simple[SQLite Simple] - Demonstrates LLM integration with a database