How to Use the Cisco Meraki MCP in AutoGen

Q: Can multiple AutoGen agents use Cisco Meraki tools at the same time?

Yes. Multiple agents in your group chat can call listdevices or searchorganizations as they discuss network health and collaborate on solutions.

Let AutoGen agents debate and resolve Cisco Meraki network alerts using multi-agent consensus.

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Connect Cisco Meraki MCP to AutoGen

Create your Vinkius account to connect Cisco Meraki to AutoGen 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 AutoGen

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Resolve Cisco Meraki alerts with AutoGen debates

The `get_device_statuses` tool feeds live hardware states into an AutoGen multi-agent conversation. A monitoring agent flags a down switch, while a network architect agent analyzes the impact. By pulling the exact hardware specs with `get_device`, the agents analyze the failing unit. They debate the best path to restore service before presenting a unified plan to you.

Audit security settings via AutoGen agents

The `get_appliance_settings` tool lets a security agent inspect firewall rules, while a compliance agent checks them against policy. They argue over open ports until they reach consensus. If they find a vulnerability, they call `list_clients` to see which endpoints are exposed. This multi-perspective audit ensures you don't miss hidden risks on your subnets.

Map multi-org setups using this MCP Server

The `list_organizations` tool gives your AutoGen coordinator agent a list of all managed entities. Your coordinator assigns individual sub-agents to scan each organization independently. These sub-agents run `list_networks` in parallel to map out active sites. They compile their findings into a single, structured markdown report for your engineering team.

Setup guide

Set up Cisco Meraki MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Cisco Meraki tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Cisco Meraki_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cisco Meraki data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Cisco Meraki_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Cisco Meraki data")
    print(result.messages[-1].content)

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.

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Common questions about Cisco Meraki MCP in AutoGen

You register the tools with the AutoGen AssistantAgent using the MCP adapter. This converts Meraki tools like `list_wireless_ssids` into schemas the agents can call during their debates.

Yes. Multiple agents in your group chat can call `list_devices` or `search_organizations` as they discuss network health and collaborate on solutions.

The Vinkius gateway manages the concurrency. If your AutoGen team calls `get_device_statuses` multiple times during a debate, the server queues the requests to prevent rate limiting.

No, the agents only see the tool schemas. The Vinkius MCP Server handles the actual API calls securely on the backend, protecting your Meraki credentials.

This MCP Server processes hardware statuses, SSID names, and network settings. All traffic runs through temporary, isolated environments that wipe your network data immediately after the session ends.

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