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