How to Use the Intruder MCP in LlamaIndex

Q: Can LlamaIndex query specific Intruder targets using natural language?

Yes, once your agent indexes the outputs of listtargets and gettarget. You can ask which staging servers are exposed and get direct answers from the vector database.

Q: Can I filter which Intruder tools LlamaIndex can access?

Yes, use the allowedtools filter in McpToolSpec. You can restrict your agent to read-only tools like listscans while blocking administrative tools like listlicences.

Index your Intruder security data into LlamaIndex using this MCP Server to build queryable, context-aware vulnerability databases.

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Connect Intruder MCP to LlamaIndex

Create your Vinkius account to connect Intruder 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 Intruder with LlamaIndex

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Index Intruder security issues into LlamaIndex

The `list_issues` tool feeds live vulnerability data directly into your LlamaIndex vector store. Your agent indexes these issues alongside your internal documentation so developers can search for fixes using plain English. When a developer asks how to fix a SQL injection, the agent calls `get_issue` to pull the precise remediation advice. It combines this with your indexed codebase to write a localized fix that matches your engineering standards.

Build a queryable asset index with LlamaIndex and MCP

The `list_targets` tool provides the raw asset data that LlamaIndex structures into a searchable knowledge graph. Your agent queries this graph to map relationships between targets found via `list_cloud_integrations` and their actual owner teams. If a target behaves unexpectedly, your agent runs `get_target` to fetch its metadata. It indexes this data immediately, giving your security team a real-time, queryable map of your entire network footprint.

Query scan histories using LlamaIndex RAG pipelines

Retrieve your complete security test history for indexing using the `list_scans` tool. Your LlamaIndex agent analyzes these runs over time using `get_scan` to identify recurring vulnerability patterns across different environments. Instead of digging through PDFs, you ask the agent which teams struggle most with cross-site scripting. The agent queries the index, checks `list_teams`, and outputs a clean breakdown of training needs based on actual scan data.

Setup guide

Set up Intruder 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 Intruder 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 Intruder tools.",
)
response = await agent.run("List recent Intruder data")

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Common questions about Intruder MCP in LlamaIndex

Use the BasicMCPClient to connect to this MCP server. Pull scan data using `list_scans` and load the results into your vector index using LlamaIndex document parsers.

Yes, once your agent indexes the outputs of `list_targets` and `get_target`. You can ask which staging servers are exposed and get direct answers from the vector database.

The agent grounds its answers directly in the raw JSON returned by `get_issue`. It won't make up security threats because it only references verified issues in the index.

Yes, use the allowed_tools filter in McpToolSpec. You can restrict your agent to read-only tools like `list_scans` while blocking administrative tools like `list_licences`.

Vinkius executes the MCP Server in an ephemeral sandbox. Your raw scan profiles, target IPs, and credentials remain isolated, passing securely to your local LlamaIndex instance.

Use it with your favorite AI tools

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