How to Use the Cisco Meraki MCP in CrewAI

Q: How do I pass Cisco Meraki tools into CrewAI?

Add the MCP Server URL directly to the mcps array in your Agent definition. The framework automatically parses and registers the available commands.

Q: How do I restrict which Cisco Meraki tools a CrewAI agent can use?

Import MCPServerHTTP and use the toolfilter parameter. This lets you give one agent access to device details while restricting another to just admin lists on the MCP Server.

Deploy autonomous IT teams. CrewAI assigns specialized agents to monitor, audit, and document your Meraki infrastructure.

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Connect Cisco Meraki MCP to CrewAI

Create your Vinkius account to connect Cisco Meraki to CrewAI 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 CrewAI

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Deploy Network Audit Teams

`list_meraki_organizations` gives your lead CrewAI agent the top-level scope of your managed footprint. That manager then delegates tasks to worker agents, instructing them to map out each specific organization. One sub-agent runs `list_organization_networks` while another pulls the hardware inventory. They share this context in memory, eventually compiling a massive, accurate topology report without you clicking a single button.

CrewAI MCP Server Diagnostics

`get_device_details` feeds exact switch configurations and current statuses directly to your troubleshooting agent. When a site goes down, a monitoring agent detects the drop and wakes up the diagnostic specialist. The specialist then executes `list_network_devices` to see which access points are stranded. This hierarchical execution isolates problems fast because each agent only focuses on its specific investigative role.

Continuous Admin Verification

`list_organization_admins` extracts the current user list for your security agent to review against active directory. The agent runs on a schedule, looking for rogue accounts or former employees who still have dashboard access. If it finds a mismatch, it passes the finding to a reporting agent. The crew handles the entire compliance check autonomously and just hands you the final remediation list.

Setup guide

Set up Cisco Meraki MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Cisco Meraki tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cisco Meraki Analyst",
    goal="Access and analyze Cisco Meraki data via MCP.",
    backstory="Expert analyst with direct Cisco Meraki access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Cisco Meraki transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Cisco Meraki Analyst",
        goal="Access and analyze Cisco Meraki data via MCP.",
        backstory="Expert analyst with direct Cisco Meraki access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Cisco Meraki transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Add the MCP Server URL directly to the `mcps` array in your Agent definition. The framework automatically parses and registers the available commands.

Yes. You can assign a specific agent to poll client lists and track MAC addresses over time. It stores the findings in shared memory for other agents to analyze.

Import `MCPServerHTTP` and use the `tool_filter` parameter. This lets you give one agent access to device details while restricting another to just admin lists on the MCP Server.

The agent reads the error response and attempts to adjust its parameters. If it fails repeatedly, the manager agent can reassign the task or escalate it to you.

Data only exists in memory while the crew is running. MAC addresses, device models, and network tags are processed inside isolated sandboxes and wiped immediately after the task completes.

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