How to Use the Levo.ai (API Security & Observability) MCP in Google ADK

Track API vulnerabilities and sensitive data flows directly inside your Google ADK enterprise agent pipelines.

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Connect Levo.ai (API Security & Observability) MCP to Google ADK

Create your Vinkius account to connect Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) with Google ADK

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Google ADK tracks runtime API anomalies

`list_observations` pulls runtime API behavior observations caught by Levo active sensors. Your Google ADK agent uses this tool to cross-reference live traffic anomalies with historical logs in BigQuery. The agent calls `get_observation` to inspect a specific anomalous payload structure. This connection helps security teams automate incident triage by combining runtime telemetry with enterprise log databases.

Export live specs through the MCP Server

`export_openapi_spec` generates a live OpenAPI specification for any tracked application in your catalog. Your agent invokes this tool to compare actual runtime behavior against registered schemas. It then uses `list_applications` to map these specs to the correct service boundaries. This keeps your Google Cloud API gateway configuration synchronized with what is actually running in production.

Identify exposed sensitive data flows

`list_sensitive_data` lists every API endpoint that exposes regulated data flows like PII or PHI. Your agent analyzes these endpoints to ensure compliance policies are enforced across all cloud services. By calling `get_endpoint_details`, the agent inspects the precise parameter types on those routes. You can run automated audits to confirm that credit card numbers or social security numbers do not leak into unauthenticated logs.

Setup guide

Set up Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) 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="Levo.ai (API Security & Observability)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Levo.ai (API Security & Observability) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Levo.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Levo.ai (API Security & Observability) MCP in Google ADK

You initialize the McpToolset with the server URL and pass it to your LlmAgent. The agent immediately gains access to this MCP Server to audit your network.

Yes, you can use the optional tool names filter in the ADK setup. This limits the agent to specific actions like list_vulnerabilities while hiding administrative tools.

The agent uses Gemini's long context to ingest entire outputs from get_vulnerability. It analyzes complex multi-step exploit paths without running out of memory.

Yes. The ADK handles both transport protocols, allowing you to run the server locally or access it via a hosted endpoint.

Vinkius hosts the MCP Server in a zero-trust sandbox using ephemeral execution. Diagnostic data and API endpoint schemas are processed in memory and never stored on the platform.

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