How to Use the MainWP MCP in LlamaIndex

Q: How can LlamaIndex help manage MainWP security risks?

By indexing the output from scannetworkvulnerabilities over time. This builds a historical database of your network's security posture, letting you query past issues, spot trends, and ground your security decisions in data.

Q: Can I use LlamaIndex to track plugin changes across my MainWP sites?

Yes, this is a core use case. Schedule an agent to run listsiteplugins across all sites daily. By indexing the results, you can ask your RAG app, "What plugins were added to production sites this week?"

Q: What's a practical use for LlamaIndex and the MainWP upgradesiteresource tool?

Index the output of listavailableupdates before and after you run upgradesiteresource. This creates a searchable, timestamped log of every update applied, which is invaluable for client reporting and internal audits.

Q: Is this difficult to set up?

It's straightforward. You point the LlamaIndex McpToolSpec to your Vinkius server endpoint. It automatically discovers the tools and makes them available to your query engine or agent.

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Connect MainWP MCP to LlamaIndex

Create your Vinkius account to connect MainWP 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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Setup MainWP with LlamaIndex

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Index Your Network's Security

Your LlamaIndex agent can call `scan_network_vulnerabilities` and `scan_network_malware` on a schedule. But instead of just getting a one-time report, LlamaIndex ingests the output from this MCP server and adds it to a vector index. This creates a historical knowledge base of your network's security posture. You can now ask your RAG application questions in plain English, like "Which sites had vulnerabilities last week?" or "Show me the malware scan history for client-x.com." The answers are grounded in the actual data from your past tool runs.

Create a Live Inventory of Your Sites

Use the `list_child_sites` and `list_site_plugins` tools to build a complete inventory of your entire WordPress network. LlamaIndex takes the JSON output from these tools and transforms it into a structured, queryable index. Once indexed, your agent has a perfect memory of your network's state. Ask it, "Which sites are running WooCommerce version 8.5 or older?" or "List all plugins on staging.example.com." Your agent retrieves the answer from its knowledge base, which you can keep fresh by re-running the tools.

Query Your MainWP Update History

Schedule a LlamaIndex agent to periodically run `list_available_updates` and `get_pending_updates_count`. The agent then indexes this snapshot of your network's update status. This builds a searchable audit log over time. You can query your index to answer questions like "How many pending updates did we have on the first of the month?" or "Which plugins were patched last Tuesday?" It turns transient operational data into a valuable, long-term asset.

Setup guide

Set up MainWP MCP in LlamaIndex

Prerequisites

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

1

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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all MainWP MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 MainWP tools.",
)
response = await agent.run("List recent MainWP data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MainWP. 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 MainWP MCP in LlamaIndex

By indexing the output from `scan_network_vulnerabilities` over time. This builds a historical database of your network's security posture, letting you query past issues, spot trends, and ground your security decisions in data.

Yes, this is a core use case. Schedule an agent to run `list_site_plugins` across all sites daily. By indexing the results, you can ask your RAG app, "What plugins were added to production sites this week?"

Index the output of `list_available_updates` before and after you run `upgrade_site_resource`. This creates a searchable, timestamped log of every update applied, which is invaluable for client reporting and internal audits.

It's straightforward. You point the LlamaIndex `McpToolSpec` to your Vinkius server endpoint. It automatically discovers the tools and makes them available to your query engine or agent.

The server processes transient data like plugin lists and vulnerability reports. LlamaIndex ingests this data into your own vector store. The connection is secured by your Vinkius token, and the ephemeral MCP server processes data without persisting it.

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