> For the complete documentation index, see [llms.txt](https://ai-security-docs.akto.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-security-docs.akto.io/akto-argus-agentic-ai-security-for-homegrown-ai/agentic-red-teaming/how-to/test-multiple/test-multiple-apis.md).

# MCP Components

Akto allows you to probe multiple components of your collection (at once) as it enhances efficiency by saving time compared to conducting separate probes for each API.

In the demonstration below, we run probes for multiple components within the **"juice\_shop\_demo"** collection and then check for any vulnerabilities within the endpoints.

Go to **Agentic AI Discovery > Agentic Collection**. Select the **Agentic Collection** and click on the **Run Probe.** Select the **Probe Categories** and **Probes** you want to probe by specifying different parameters like **Time duration, Scan Role,** etc, then click on **Run Probe** to execute the probes.

{% embed url="<https://demo.arcade.software/KLEQQ4y0CfgAzMkE3JdQ?embed=>" %}

In the above demonstration, we have run **`Lack of Resources & Rate Limiting`** the probe for all the endpoints of the **"juice\_shop\_demo"** collection. Now, let's review the outcomes of these probes.

{% @arcade/embed url="<https://app.arcade.software/share/hmTC34aUsrpA7FSNWlkS>" flowId="hmTC34aUsrpA7FSNWlkS" %}

In the above demonstration, no vulnerabilities were identified in the **`juice_shop_demo`** collection, resulting in no entries in the **`vulnerable`** section.