Update doc/docs/config/intro.md

Co-authored-by: Copilot <[email protected]>

Author: juntao

doc/docs/config/intro.md

@@ -9,7 +9,7 @@ It generally takes two approaches.
 
 * The pipeline approach. It divides up the task into multiple steps, and use a different AI service to process each step.
   * The [ASR service](asr.md) turns the user input voice audio into text.
-  * The [LLM service](llm.md) generates a text response to the user input. The LLM could be aided by [built-in tools, such as web searches](llm-tools.md) and [custom tools in MCP servers](mcp.md].
+  * The [LLM service](llm.md) generates a text response to the user input. The LLM could be aided by [built-in tools, such as web searches](llm-tools.md) and [custom tools in MCP servers](mcp.md).
   * The [TTS service](tts.md) converts the response text to voice.
 * The end-to-end real-time model approach. It utilizes multimodal models that could directly ingest voice input and generate voice output, such as [Google Gemini Live](gemini-live.md).