docs: mcp component name update (#8013)

* update-name-and-screenshots

* links

* update-astradb-screenshot

* sentence-case

* additional-linkfixes

docs/docs/Components/components-tools.md

@@ -309,17 +309,17 @@ This component allows you to call the Serper.dev Google Search API.
 
 </details>
 
-## MCP server
+## MCP connection
 
-This component connects to a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server and exposes the MCP server's tools as tools for Langflow agents.
+The **MCP connection** component connects to a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server and exposes the MCP server's tools as tools for Langflow agents.
 
-In addition to being an MCP client that can leverage MCP servers, the MCP component's [SSE mode](#mcp-sse-mode) allows you to connect your flow to the Langflow MCP server at the `/api/v1/mcp/sse` API endpoint, exposing all flows within your [project](/concepts-overview#projects) as tools within a flow.
+In addition to being an MCP client that can leverage MCP servers, the **MCP connection** component's [SSE mode](#mcp-sse-mode) allows you to connect your flow to the Langflow MCP server at the `/api/v1/mcp/sse` API endpoint, exposing all flows within your [project](/concepts-overview#projects) as tools within a flow.
 
-To use the MCP server component with an agent component, follow these steps:
+To use the **MCP connection** component with an agent component, follow these steps:
 
-1. Add the MCP server component to your workflow.
+1. Add the **MCP connection** component to your workflow.
 
-2. In the MCP server component, in the **MCP Command** field, enter the command to start your MCP server. For example, to start a [Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) server, the command is:
+2. In the **MCP connection** component, in the **MCP Command** field, enter the command to start your MCP server. For example, to start a [Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) server, the command is:
 
     ```bash
     uvx mcp-server-fetch
@@ -347,11 +347,11 @@ To use the MCP server component with an agent component, follow these steps:
 The available fields change based on the selected tool.
 For information on the parameters, see the MCP server's documentation.
 
-5. In the MCP server component, enable **Tool mode**.
-Connect the MCP server component's **Toolset** port to an **Agent** component's **Tools** port.
+5. In the **MCP connection** component, enable **Tool mode**.
+Connect the **MCP connection** component's **Toolset** port to an **Agent** component's **Tools** port.
 
     The flow looks similar to this:
-    ![MCP server component](/img/component-mcp-stdio.png)
+    ![MCP connection component](/img/component-mcp-stdio.png)
 
 6. Open the **Playground**.
 Ask the agent to summarize recent tech news. The agent calls the MCP server function `fetch` and returns the summary.
@@ -368,16 +368,16 @@ If you're using **Langflow for Desktop**, the default address is `http://127.0.0
 The MCP component's SSE mode connects your flow to the Langflow MCP server through the component.
 This allows you to use all flows within your [project](/concepts-overview#projects) as tools within a flow.
 
-1. In the **MCP Server** component, select **SSE**.
+1. In the **MCP connection** component, select **SSE**.
 A default address appears in the **MCP SSE URL** field.
 2. In the **MCP SSE URL** field, modify the default address to point at the SSE endpoint of the Langflow server you're currently running.
 The default value is `http://localhost:7860/api/v1/mcp/sse`.
-3. In the **MCP Server** component, click <Icon name="RefreshCw" aria-label="Refresh"/> to retrieve the server's list of **Tools**.
+3. In the **MCP connection** component, click <Icon name="RefreshCw" aria-label="Refresh"/> to retrieve the server's list of **Tools**.
 4. Click the **Tools** field.
 All of your flows are listed as tools.
-5. Enable **Tool Mode**, and then connect the **MCP Server** component to an agent component's tool port.
+5. Enable **Tool Mode**, and then connect the **MCP connection** component to an agent component's tool port.
 The flow looks like this:
-![MCP server component](/img/component-mcp-sse-mode.png)
+![MCP component with SSE mode enabled](/img/component-mcp-sse-mode.png)
 6. Open the **Playground** and chat with your tool.
 The agent chooses the correct tool based on your query.
 
@@ -628,13 +628,13 @@ Deprecated components have been replaced by newer alternatives and should not be
 ### MCP Tools (stdio)
 :::important
 This component is deprecated as of Langflow version 1.3.
-Instead, use the [MCP server component](/components-tools#mcp-server)
+Instead, use the [MCP connection component](/components-tools#mcp-connection)
 :::
 
 
 ### MCP Tools (SSE)
 :::important
 This component is deprecated as of Langflow version 1.3.
-Instead, use the [MCP server component](/components-tools#mcp-server)
+Instead, use the [MCP connection component](/components-tools#mcp-connection)
 :::
 

docs/docs/Concepts/mcp-server.md

@@ -9,7 +9,7 @@ import Icon from "@site/src/components/icon";
 
 Langflow integrates with the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) as both an MCP server and an MCP client.
 This page describes how to use Langflow as an *MCP server*.
-For information about using Langflow as an *MCP client*, see the [MCP component](/components-tools#mcp-server).
+For information about using Langflow as an *MCP client*, see the [MCP connection component](/components-tools#mcp-connection).
 
 As an MCP server, Langflow exposes your flows as [tools](https://modelcontextprotocol.io/docs/concepts/tools) that [MCP clients](https://modelcontextprotocol.io/clients) can use use to take actions.
 

docs/docs/Integrations/mcp-component-astra.md

@@ -7,7 +7,7 @@ import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 import Icon from "@site/src/components/icon";
 
-Use the [MCP server component](/components-tools#mcp-server) to connect Langflow to a [Datastax Astra DB MCP server](https://github.com/datastax/astra-db-mcp).
+Use the [MCP connection component](/components-tools#mcp-connection) to connect Langflow to a [Datastax Astra DB MCP server](https://github.com/datastax/astra-db-mcp).
 
 1. Install an LTS release of [Node.js](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm).
 
@@ -19,18 +19,18 @@ Use the [MCP server component](/components-tools#mcp-server) to connect Langflow
 
 5. Create a [Simple agent starter project](/starter-projects-simple-agent).
 
-6. Remove the **URL** tool and replace it with an [MCP server](/components-tools#mcp-server) component.
+6. Remove the **URL** tool and replace it with an [MCP connection](/components-tools#mcp-connection) component.
 The flow should look like this:
 
-    ![MCP stdio component connecting to Astra](/img/component-mcp-astra-db.png)
+    ![MCP connection component connecting to Astra](/img/component-mcp-astra-db.png)
 
-7. In the **MCP server** component, in the **MCP server** field, add the following code to connect to an Astra DB MCP server:
+7. In the **MCP connection** component, in the **MCP server** field, add the following code to connect to an Astra DB MCP server:
 
     ```bash
     npx -y @datastax/astra-db-mcp
     ```
 
-8. In the **MCP server** component, in the **Env** fields, add variables for `ASTRA_DB_APPLICATION_TOKEN` and `ASTRA_DB_API_ENDPOINT` with the values from your Astra database.
+8. In the **MCP connection** component, in the **Env** fields, add variables for `ASTRA_DB_APPLICATION_TOKEN` and `ASTRA_DB_API_ENDPOINT` with the values from your Astra database.
 
     :::important
     Langflow passes environment variables from the `.env` file to MCP, but not global variables declared in the UI.