How to Use the Wallarm MCP in Google ADK

Q: How do I review past security incidents with Wallarm and the google-adk?

You run searchsecurityattacks to analyze detected vectors, or use searchsecurityhits for deep forensic data on blocked requests. It’s powerful stuff.

Q: Does this MCP Server handle vulnerability lifecycle management with Wallarm and the google-adk?

Yes. After identifying a flaw via searchvulnerabilities, your agent can mark it as 'closed' or 'falsepositive' using updatevulnerabilitystatus.

Automate API defense with Google ADK and the Wallarm MCP Server for enterprise security workflows.

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Connect Wallarm MCP to Google ADK

Create your Vinkius account to connect Wallarm to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Wallarm with Google ADK

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Monitor all filtering nodes

Need to know where your WAF is running? `list_filtering_nodes` gives you a list of every deployed Wallarm gateway node. It shows you the full deployment scope. This helps agents map out your entire security footprint before making changes.

Identify attack patterns

When an incident happens, `search_security_attacks` groups detected threats by vector—you get clean breakdowns like SQLi or XSS. It tells you *how* the attack was structured. It's much better than just seeing a hit count; you see the pattern of misuse.

Check account status

Your agents can pull core operational data using `get_client_info`. This tool retrieves details on your Wallarm account, subscription level, and feature access. Before running a major security update, you'll want to confirm the current account permissions.

Setup guide

Set up Wallarm MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Wallarm tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Wallarm_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Wallarm tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Wallarm MCP in Google ADK

The Google ADK allows your agents to treat the MCP Server as a toolset within the Gemini ecosystem. Your agent can reason over data in BigQuery and then execute security actions via the Wallarm tools.

You can use your agents to list all configured IP rules with `list_ip_acl_rules` or search for new vulnerabilities using `search_vulnerabilities`. The agent handles the full workflow.

You run `search_security_attacks` to analyze detected vectors, or use `search_security_hits` for deep forensic data on blocked requests. It’s powerful stuff.

Yes. After identifying a flaw via `search_vulnerabilities`, your agent can mark it as 'closed' or 'falsepositive' using `update_vulnerability_status`.

The server touches full request headers and payloads when you run `search_security_hits`. This is highly detailed, sensitive traffic data that requires proper handling.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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