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How to Use the Cisco Meraki MCP in LlamaIndex

Index Cisco Meraki device states and network configurations into LlamaIndex vector stores for semantic search.

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LlamaIndex

Connect Cisco Meraki MCP to LlamaIndex

Create your Vinkius account to connect Cisco Meraki to LlamaIndex 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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Build a Cisco Meraki RAG pipeline in LlamaIndex

The `list_networks` tool fetches your entire network list to seed a LlamaIndex document store. Instead of browsing the Meraki dashboard, your agent queries this index to find specific subnets. By indexing the output of `get_appliance_settings`, you turn complex JSON configurations into searchable vector embeddings. Your support agents can search for firewall rules using natural language.

Query live device states via LlamaIndex tools

The `get_device_statuses` tool provides real-time health data that LlamaIndex injects into its query engine. Your agent retrieves this live context to answer questions about offline hardware. When a user asks why a printer is offline, LlamaIndex calls `get_device` to fetch the specific model details. It combines this API data with your local troubleshooting guides to draft a fix.

Index client connections with this MCP Server

The `list_clients` tool extracts active user sessions from your network directly into LlamaIndex memory. This lets you run semantic queries over who is connected where. The agent cross-references this with `list_wireless_ssids` to map clients to specific wireless networks. You get an accurate, searchable snapshot of your wireless environment.

Setup guide

Set up Cisco Meraki MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Cisco Meraki MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Cisco Meraki tools.",
)
response = await agent.run("List recent Cisco Meraki data")

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 LlamaIndex

LlamaIndex uses the MCP tool spec to pull data from tools like `list_devices` on demand. It converts the JSON output into document nodes for your query engine.
Yes. You register the Cisco Meraki tools with a LlamaIndex FunctionAgent, allowing it to decide when to call `get_organization` based on user queries.
No, LlamaIndex never sees your API key. The key stays securely stored in the Vinkius dashboard, and your local client authenticates using a single MCP token.
You use the allowed_tools filter during setup. This restricts LlamaIndex to specific endpoints, like only allowing `list_wireless_ssids` while blocking organization-level tools.
This integration reads device configurations, SSID names, and local IP assignments. All data flows through ephemeral V8 isolates, ensuring your network layouts are never cached or stored.

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