diff --git a/en/Clients/LlamaIndex-Client-Embedded.mdx b/en/Clients/LlamaIndex-Client-Embedded.mdx
index cee0113..ee3f971 100644
--- a/en/Clients/LlamaIndex-Client-Embedded.mdx
+++ b/en/Clients/LlamaIndex-Client-Embedded.mdx
@@ -32,13 +32,13 @@ from llama_index.core.agent import ReActAgent
 import asyncio
 
 client = BasicMCPClient(
-    "http://mcp.cloud.cdata.com/mcp",
+    "https://mcp.cloud.cdata.com/mcp",
     headers={"Authorization": "Bearer OAUTH_JWT_TOKEN"}
 )
 
 async def main():
     # List available tools
-    tools = await aget_tools_from_mcp_url("http://mcp.cloud.cdata.com/mcp", client=client)
+    tools = await aget_tools_from_mcp_url("https://mcp.cloud.cdata.com/mcp", client=client)
    
     llm = OpenAI(model="gpt-4o", api_key="YOUR_OPENAI_KEY")   
     # Create ReActAgent
diff --git a/en/Clients/LlamaIndex-Client.mdx b/en/Clients/LlamaIndex-Client.mdx
index b1d2706..4dbb5bb 100644
--- a/en/Clients/LlamaIndex-Client.mdx
+++ b/en/Clients/LlamaIndex-Client.mdx
@@ -35,13 +35,13 @@ from llama_index.core.agent import ReActAgent
 import asyncio
 
 client = BasicMCPClient(
-    "http://mcp.cloud.cdata.com/mcp",
+    "https://mcp.cloud.cdata.com/mcp",
     headers={"Authorization": "Basic Base64-encoded (CONNECTAI_USERNAME:PAT)"}
 )
 
 async def main():
     # List available tools
-    tools = await aget_tools_from_mcp_url("http://mcp.cloud.cdata.com/mcp", client=client)
+    tools = await aget_tools_from_mcp_url("https://mcp.cloud.cdata.com/mcp", client=client)
    
     llm = OpenAI(model="gpt-4o", api_key="YOUR_OPENAI_KEY")   
     # Create ReActAgent
diff --git a/en/Quick-Start-Guide.mdx b/en/Quick-Start-Guide.mdx
index 89d86fd..9ff20d9 100644
--- a/en/Quick-Start-Guide.mdx
+++ b/en/Quick-Start-Guide.mdx
@@ -114,7 +114,7 @@ Use **Scheduled Queries** under **Jobs** to refresh cached results for heavy wor
 Open Power BI Desktop and then select **Get Data** > **SQL Server**.
 </Step>
 <Step>
-Enter your Connect Cloud SQL endpoint (*tds.cdata.com*).
+Enter your Connect AI SQL endpoint (*tds.cdata.com*).
 </Step>
 <Step>
 Authenticate with your CData credentials.
@@ -131,7 +131,7 @@ Select tables or derived views and build visuals.
 In Excel, select **Data** > **Get Data** > **From Other Sources** > **From OData Feed**.
 </Step>
 <Step>
-Paste your Connect Cloud OData endpoint (*https://cloud.cdata.com/api/odata/{workspace\_name}*).
+Paste your Connect AI OData endpoint (*https://cloud.cdata.com/api/odata/{workspace\_name}*).
 </Step>
 <Step>
 Authenticate with your CData credentials and load data.
@@ -159,11 +159,11 @@ Expose any source as a secure API for custom apps and large language models (LLM
 	```
 - OData v4 is used for BI tools and pagination/filtering:
 	```bash
-	GET https://cloud.cdata.com/odata/Salesforce/Opportunity?$top=100&$orderby=Amount desc
+	GET https://cloud.cdata.com/api/odata/Salesforce/Opportunity?$top=100&$orderby=Amount desc
 	```
 - OpenAPI generates clients and validates requests:
 	```bash
-	GET https://cloud.cdata.com/openapi/Salesforce
+	GET https://cloud.cdata.com/api/openapi/Salesforce
 	```
 
 ## Step 6: Organize with Workspaces
diff --git a/en/Workspaces.mdx b/en/Workspaces.mdx
index ddce0d7..dee270b 100644
--- a/en/Workspaces.mdx
+++ b/en/Workspaces.mdx
@@ -1,10 +1,11 @@
 ---
 title: "Workspaces"
+description: "The **Workspaces** feature is a data catalog that streamlines the accessibility of diverse data sources."
 ---
 
 ## Overview
 
-The **Workspaces** feature is a data catalog that streamlines the accessibility of diverse data sources. Workspaces provide a way to organize, catalog, and control access to specific data (assets) in Connect AI. You can bundle related assets separately in a simple and scalable way. Workspaces offer a customizable organization scheme that streamlines data analysis across numerous business functions.
+Workspaces provide a way to organize, catalog, and control access to specific data (assets) in Connect AI. You can bundle related assets separately in a simple and scalable way. Workspaces offer a customizable organization scheme that streamlines data analysis across numerous business functions.
 
 In the Connect AI data catalog, you can view a preview of the workspace’s column metadata.
 
@@ -66,7 +67,7 @@ The **Virtual SQL Server** tab of the **Endpoints** dialog contains the settings
 The **OData** tab of the **Endpoints** dialog contains the settings you need to connect from a workspace via OData clients. Copy the settings in the dialog.
 
 - **Username**—your username to connect to a workspace is in the format of your email address.
-- **OData URL**—the workspace name you want to connect to. The URL has the format `https://cloud.cdata.com/api/odata/[workspace_name]`.
+- **OData URL**—the workspace name you want to connect to. The URL has the format `https://cloud.cdata.com/api/odata/{workspace_name}`.
 - **Password**—click **Create PAT** to create a Personal Access Token to use as your password during authentication.
 
 #### Connect via OpenAPI