fix: in langflow.md, change we -> you, handle review comments

Author: jirispilka

sources/platform/integrations/ai/langflow.md

@@ -29,9 +29,9 @@ This guide will demonstrate two different ways to use Apify Actors with Langflow
 
 ### Prerequisites
 
-- **Apify API token**: To use Apify Actors in Langflow, you need an Apify API token. If you don't have one, you can learn how to obtain it in the [Apify documentation](https://docs.apify.com/platform/integrations/api).
+- **Apify API token**: To use Apify Actors in Langflow, you need an Apify API token. If you don't have one, you can learn how to get it in the [Apify documentation](https://docs.apify.com/platform/integrations/api).
 
-- **OpenAI API key**: In order to work with agents in Langflow, you need an OpenAI API key. If you don't have one, you can get it from the [OpenAI platform](https://platform.openai.com/account/api-keys).
+- **OpenAI API key**: To work with agents in Langflow, you need an OpenAI API key. If you don't have one, you can get it from the [OpenAI platform](https://platform.openai.com/account/api-keys).
 
 #### Langflow
 
@@ -41,13 +41,13 @@ Langflow can either be installed locally or used in the cloud. The cloud version
 
 :::
 
-First, we need to install the Langflow platform using python package and project manager [uv](https://docs.astral.sh/uv/):
+First, you need to install the Langflow platform using python package and project manager [uv](https://docs.astral.sh/uv/):
 
 ```bash
 uv pip install langflow
 ```
 
-After successfully installing Langflow, we can start the platform:
+After successfully installing Langflow, you can start the platform:
 
 ```bash
 uv run langflow run
@@ -62,26 +62,26 @@ When the platform is started, open the Langflow UI using `http://127.0.0.1:7860`
 On the Langflow welcome screen, click the **New Flow** button and then create **Blank Flow**:
 ![New Flow screen - Blank Flow](../images/langflow/new_blank_flow.png)
 
-Now, we can start building our flow.
+Now, you can start building your flow.
 
 ### Calling Apify Actors in Langflow
 
-To call Apify Actors in Langflow, we need to add the **Apify Actors** component to the flow.
+To call Apify Actors in Langflow, you need to add the **Apify Actors** component to the flow.
 From the bundle menu, add **Apify Actors** component:
 ![Flow - Add Apify Actors](../images/langflow/bundles_apify.png)
 
-Next, we need to configure the Apify Actors components. First, input your API token (learn how to get it at [Integrations](https://docs.apify.com/platform/integrations/api)).
+Next, you need to configure the Apify Actors components. First, input your API token (learn how to get it at [Integrations](https://docs.apify.com/platform/integrations/api)).
 Then, set the Actor ID of the component to `apify/rag-web-browser` to use the [RAG Web Browser](https://apify.com/apify/rag-web-browser).
 Set the **Run input** field to pass arguments to the Actor run, allowing it to search Google with the query `"what is monero?"` (full Actor input schema can be found in the [RAG Web Browser input schema](https://apify.com/apify/rag-web-browser/input-schema)):
 
 ```json
 {"query": "what is monero?", "maxResults": 3}
 ```
 
-Now, we can run the component by clicking the **Run** button.
+Now, you can run the component by clicking the **Run** button.
 ![Flow - Apify Actors Run](../images/langflow/apify_actors_run.png)
 
-Once the run is finished, we can view the output by clicking the **Output** button.
+Once the run is finished, you can view the output by clicking the **Output** button.
 ![Flow - Apify Actors Output](../images/langflow/apify_actors_output.png)
 
 The output should look similar to this:
@@ -96,7 +96,7 @@ When you run the component again, the output contains only the `markdown` and fl
 
 ![Flow - Apify Actors Output Filtered](../images/langflow/apify_actors_output_data_filtered.png)
 
-Now that we understand how to call Apify Actors, let's build a practical example where we search for a company's social media profiles and extract data from them.
+Now that you understand how to call Apify Actors, let's build a practical example where you search for a company's social media profiles and extract data from them.
 
 ### Building a flow to search for a company's social media profiles
 

sources/platform/integrations/ai/mcp.md

@@ -178,7 +178,10 @@ For example, to enable only the `runs` and `storage` tools, you can use:
 https://mcp.apify.com/?tools=runs,storage
 ```
 
-The server will expose all `Actor discovery and management tools`, as well as `runs` and `storage`.
+The server will expose all _Actor discovery and management tools_, as well as `runs` and `storage`.
+The list of tools you can enable/disable is as follows: `docs`, `runs`, `storage`, and `preview`.
+
+
 
 ### Configure STDIO server using CLI arguments
 
@@ -189,11 +192,11 @@ For example, to enable only the `runs` and `storage` tools, you can run:
 npx @apify/actors-mcp-server --tools runs,storage
 ```
 
-## Dynamic Actor tooling
+## Dynamic discovery of Actors
 
 One of the powerful features of MCP with Apify is **dynamic Actor tooling** – the ability for an AI agent to find new tools (Actors) as needed and incorporate them.
 
-Supported dynamic tool operations (enebled by default):
+Supported dynamic tool operations (enabled by default):
 
 - `search-actors`: Find available Actors by keyword or category.
 - `get-actor-details`: View details and usage information for a specific Actor.
@@ -222,3 +225,4 @@ The Apify MCP server has a rate limit of _30 requests per second_ per user. If y
 - [Apify Actors MCP Server](https://apify.com/apify/actors-mcp-server): The README for the Apify MCP Server actor (available on Apify Store as `apify/actors-mcp-server`) provides technical details on implementation and advanced usage.
 - [Apify Tester MCP Client](https://apify.com/jiri.spilka/tester-mcp-client): A specialized client actor (`jiri.spilka/tester-mcp-client`) that you can run to simulate an AI agent in your browser. Useful for testing your setup with a chat UI.
 - [How to use MCP with Apify Actors](https://blog.apify.com/how-to-use-mcp/): Learn how to expose over 5,000 Apify Actors to AI agents with Claude and LangGraph, and configure MCP clients and servers.
+- [Apify MCP Server Tutorial](https://www.youtube.com/watch?v=BKu8H91uCTg): Integrate 5,000+ Apify Actors and Agents with Claude