How to Use the Cisco Meraki MCP in Google ADK

Q: How do I expose Cisco Meraki MCP tools to Google ADK?

Initialize McpToolset with your Vinkius URL and pass it to the LlmAgent tools array. The agent immediately sees the available endpoints.

Q: Can Google ADK restrict which Cisco Meraki tools the agent uses?

You can apply a toolnames filter when setting up the toolset. This prevents the agent from calling endpoints like getorganization if it only needs client data.

Feed live Cisco Meraki MCP Server data directly into Google ADK agents for enterprise network analysis.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

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.

GDPR Free for Subscribers

Setup Cisco Meraki with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Ground Gemini in real MCP data

Enterprise agents need massive context windows to process Meraki network data. Google ADK lets you pull thousands of endpoints via `list_devices` and feed them straight into Gemini's 1M+ token context. The model reads the entire hardware landscape at once. You configure a `McpToolset` pointing to the Vinkius HTTP transport. The agent correlates live hardware states with historical BigQuery logs, spotting failure patterns across your global infrastructure.

Monitor global organizational health

Managing multiple enterprise Meraki tenants requires high-level visibility. Your agent executes `list_organizations` to grab every managed entity, then drills down using `get_device_statuses`. When a specific tenant reports latency, the model checks `get_appliance_settings` for misconfigurations. It cross-references current routing rules against known good states stored in Vertex AI.

Track wireless access anomalies

Identifying rogue access points on a Meraki network means parsing endless client lists. The agent triggers `list_wireless_ssids` and `list_clients` to map exactly who connected to which network. Because Gemini holds massive context, it compares today's client list against yesterday's BigQuery extract in memory. You find unauthorized devices without building complex external diffing logic.

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,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cisco Meraki. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cisco Meraki now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cisco Meraki MCP in Google ADK

Initialize `McpToolset` with your Vinkius URL and pass it to the `LlmAgent` tools array. The agent immediately sees the available endpoints.

You can apply a `tool_names` filter when setting up the toolset. This prevents the agent from calling endpoints like `get_organization` if it only needs client data.

The model absorbs massive JSON payloads directly into its long-context window. It reads the output of `list_devices` natively without requiring external vector databases or chunking.

Vinkius manages the underlying API credentials. Your script only needs the single endpoint token to execute requests against the cloud controller.

The execution environment operates on a zero-trust model. Vinkius processes the routing queries and discards the memory state immediately, ensuring your internal network configurations never leak.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript