How to Use the Cisco Meraki MCP in Google ADK

Q: How do I configure Cisco Meraki tools in Google ADK?

Install google-adk and set up a McpToolset using StreamableHttpServerParameters. Point the URL to your Vinkius MCP Server endpoint. Pass that toolset directly to your LlmAgent initialization.

Q: How do I filter which Cisco Meraki tools Google ADK exposes?

Use the toolnames parameter when creating your toolset. If you only want the agent to read summaries, restrict it to getnetworksummary and block access to the admin listing endpoints.

Connect Cisco Meraki to Google ADK to feed live network telemetry directly into Gemini's massive context window.

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Connect Cisco Meraki MCP to Google ADK

Create your Vinkius account to connect Cisco Meraki 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 Cisco Meraki with Google ADK

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Cross-Reference Meraki Data in Google Cloud

Your Gemini agent queries this MCP Server to pull live network state and compares it against historical logs in BigQuery. The agent uses `list_network_devices` to grab current hardware statuses across all your locations. Because Gemini handles millions of tokens, you dump the entire output of `list_organization_inventory` straight into the prompt. The agent analyzes thousands of APs and switches simultaneously without chunking the data.

Track Connected Clients via MCP Server

Monitoring user endpoints requires pulling massive lists of connected devices. The agent calls `list_network_clients` to grab every active connection on the network. It then runs `get_network_summary` to pull the overall traffic patterns. You pipe these results directly into Vertex AI pipelines to train custom anomaly detection models based on your actual office traffic.

Audit Organization Admins with Gemini

Security teams need to know exactly who has access to the networking gear. The agent executes `list_meraki_organizations` to find all available orgs, then loops through them. For each org, it fires `list_organization_admins` to pull the email addresses and privilege levels. You use Google ADK's native tools to match those emails against your Google Workspace directory to find orphaned accounts.

Setup guide

Set up Cisco Meraki 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 Cisco Meraki 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="Cisco Meraki_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cisco Meraki tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Cisco Meraki MCP in Google ADK

Install `google-adk` and set up a `McpToolset` using `StreamableHttpServerParameters`. Point the URL to your Vinkius MCP Server endpoint. Pass that toolset directly to your `LlmAgent` initialization.

Gemini's massive context window easily swallows huge API responses. You feed it the entire JSON output from your organization's inventory without worrying about pagination limits or truncation.

Use the `tool_names` parameter when creating your toolset. If you only want the agent to read summaries, restrict it to `get_network_summary` and block access to the admin listing endpoints.

The framework handles multiple toolsets natively. You build an agent that pulls live MAC addresses from the network and immediately runs a SQL query to check them against your known-assets table in BigQuery.

Vinkius processes your requests in memory without writing to disk. When your agent pulls network IDs or firewall configs, the data flows through an ephemeral zero-trust tunnel. Nothing persists after the connection closes.

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