Docs: Restructured MCP-specific documents (#7565)

### What problem does this PR solve?


### Type of change


- [x] Documentation Update

docs/develop/mcp/_category_.json

@@ -0,0 +1,8 @@
+{
+  "label": "MCP",
+  "position": 4,
+  "link": {
+    "type": "generated-index",
+    "description": "Guides and references on accessing RAGFlow's knowledge bases via MCP."
+  }
+}

docs/develop/mcp/launch_mcp_server.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 4
+sidebar_position: 1
 slug: /launch_mcp_server
 ---
 
@@ -177,24 +177,6 @@ Run the following to check the logs the RAGFlow server and the MCP server:
 docker logs ragflow-server
 ```
 
-## MCP client example
-
-We provide a *prototype* MCP client example for testing [here](https://github.com/infiniflow/ragflow/blob/main/mcp/client/client.py).
-
-:::danger IMPORTANT
-If your MCP server is running in host mode, include your acquired API key in your client's `headers` as shown below:
-```python
-async with sse_client("http://localhost:9382/sse", headers={"api_key": "YOUR_KEY_HERE"}) as streams:
-    # Rest of your code...
-```
-:::
-
-## Tools
-
-The MCP server currently offers a specialized tool to assist users in searching for relevant information powered by RAGFlow DeepDoc technology:
-
-- **retrieve**: Fetches relevant chunks from specified `dataset_ids` and optional `document_ids` using the RAGFlow retrieve interface, based on a given question. Details of all available datasets, namely, `id` and `description`, are provided within the tool description for each individual dataset.
-
 ## Security considerations
 
 As MCP technology is still at early stage and no official best practices for authentication or authorization have been established, RAGFlow currently uses [API key](./acquire_ragflow_api_key.md) to validate identity for the operations described earlier. However, in public environments, this makeshift solution could expose your MCP server to potential network attacks. Therefore, when running a local SSE server, it is recommended to bind only to localhost (`127.0.0.1`) rather than to all interfaces (`0.0.0.0`). 

docs/develop/mcp/mcp_client_example.md

@@ -0,0 +1,16 @@
+---
+sidebar_position: 3
+slug: /mcp_client
+---
+
+# RAGFlow MCP client example
+
+We provide a *prototype* MCP client example for testing [here](https://github.com/infiniflow/ragflow/blob/main/mcp/client/client.py).
+
+:::danger IMPORTANT
+If your MCP server is running in host mode, include your acquired API key in your client's `headers` as shown below:
+```python
+async with sse_client("http://localhost:9382/sse", headers={"api_key": "YOUR_KEY_HERE"}) as streams:
+    # Rest of your code...
+```
+:::

docs/develop/mcp/mcp_tools.md

@@ -0,0 +1,12 @@
+---
+sidebar_position: 2
+slug: /mcp_tools
+---
+
+# RAGFlow MCP tools
+
+The MCP server currently offers a specialized tool to assist users in searching for relevant information powered by RAGFlow DeepDoc technology:
+
+- **retrieve**: Fetches relevant chunks from specified `dataset_ids` and optional `document_ids` using the RAGFlow retrieve interface, based on a given question. Details of all available datasets, namely, `id` and `description`, are provided within the tool description for each individual dataset.
+
+For more information, see our Python implementation of the [MCP server](https://github.com/infiniflow/ragflow/blob/main/mcp/server/server.py).

docs/guides/dataset/construct_knowledge_graph.md

@@ -85,7 +85,7 @@ Yes, you can. Just one graph is generated per knowledge base. The smaller graphs
 
 ### Does the knowledge graph automatically update when I remove a related file?
 
-Nope. The knowledge graph does *not* automatically update *until* a newly uploaded graph is parsed.
+Nope. The knowledge graph does *not* automatically update *until* a newly uploaded document is parsed.
 
 ### How to remove a generated knowledge graph?
 

docs/release_notes.md

@@ -44,7 +44,7 @@ From this release onwards, built-in rerank models have been removed because they
 - [Set page rank](./guides/dataset/set_page_rank.md)
 - [Enable RAPTOR](./guides/dataset/enable_raptor.md)
 - [Set variables for your chat assistant](./guides/chat/set_chat_variables.md)
-- [RAGFlow MCP server overview](./develop/launch_mcp_server.md)
+- [Launch RAGFlow MCP server](./develop/mcp/launch_mcp_server.md)
 
 ## v0.17.2