Can I block a malicious IP address directly from my agent?

Yes. Using the `create_ip_acl_rule` tool, you can immediately add an IP or CIDR range to your global denylist (black list) to mitigate threats as soon as they are identified during your security audit.

Is it possible to triage vulnerabilities and change their status via chat?

Absolutely. You can use `update_vulnerability_status` to change a vulnerability's lifecycle status (e.g., to closed or false positive) once you have investigated it or applied remediation steps.

Wallarm MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Wallarm
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Wallarm as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="wallarm_agent",
    instruction=(
        "You help users interact with Wallarm "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Wallarm MCP Server

Connect your Wallarm account to any AI agent and secure your API infrastructure through natural conversation.

Google ADK natively supports Wallarm as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Security Attacks — Monitor and search for active security attacks detected by Wallarm, grouped by vector (SQLi, XSS, etc.)
Granular Hits — Perform deep forensics by searching for individual malicious HTTP request hits with full payloads
Vulnerability Management — List and triage security vulnerabilities discovered in live API traffic directly from your agent
API Inventory — Retrieve the automatically discovered API inventory to see all exposed endpoints and methods
Filtering Nodes — Verify the health and heartbeat status of your deployed WAF and API gateway filtering nodes
IP Control — Audit and manage IP allowlist/denylist rules to immediately block malicious sources or allow trusted partners
Remediation Guidance — Access comprehensive diagnostic data and CWE mappings for specific vulnerabilities

The Wallarm MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Wallarm to Google ADK via MCP

Follow these steps to integrate the Wallarm MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Wallarm via MCP

Why Use Google ADK with the Wallarm MCP Server

Google ADK provides unique advantages when paired with Wallarm through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Wallarm

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Wallarm tools with BigQuery, Vertex AI, and Cloud Functions

Wallarm + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Wallarm MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Wallarm and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Wallarm tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Wallarm regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Wallarm

Wallarm MCP Tools for Google ADK (10)

These 10 tools become available when you connect Wallarm to Google ADK via MCP:

create_ip_acl_rule

list_type must be "white" or "black". Adds an IP or CIDR range to the global allowlist or denylist

get_client_info

Retrieves details about the Wallarm account, subscription, and feature status

get_discovered_api_inventory

Retrieves the API inventory automatically discovered through passive traffic analysis

get_vulnerability_details

Retrieves comprehensive diagnostic data and exploit evidence for a specific vulnerability ID

list_filtering_nodes

Lists all deployed Wallarm WAF/API gateway filtering nodes

list_ip_acl_rules

Lists configured IP allowlist and denylist rules

search_security_attacks

Searches for security attacks detected by Wallarm, grouped by vector (SQLi, XSS, etc.)

search_security_hits

Shows full request headers and payloads for blocked traffic. Searches for granular individual malicious HTTP request hits intercepted by WAF nodes

search_vulnerabilities

Lists all open security vulnerabilities discovered in live API traffic

update_vulnerability_status

Valid statuses: open, closed, falsepositive. Changes the lifecycle status of a vulnerability (e.g., mark as closed or false positive)

Example Prompts for Wallarm in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Wallarm immediately.

"List all security attacks detected in the last hour."

"Block the malicious IP address 1.2.3.4 immediately."

"What vulnerabilities are currently open in our production API?"

Troubleshooting Wallarm MCP Server with Google ADK

Common issues when connecting Wallarm to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Wallarm + Google ADK FAQ

Common questions about integrating Wallarm MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.