How to Use the Beagle Security MCP in LlamaIndex

Q: How do I index Beagle Security test results into LlamaIndex?

You run gettestresults through the MCP client and load the output into a LlamaIndex Document object. From there, you vector-index the findings for semantic search.

Q: Can LlamaIndex query historical Beagle Security vulnerabilities?

Yes, by combining listprojects with getvulnerabilities and indexing the historical outputs. Your agent can then search past flaws using natural language.

Q: How does the LlamaIndex MCP Server integration handle live test status?

Your agent calls getteststatus directly to check live runs before querying the index. This ensures you aren't searching stale data while a scan is active.

Q: Can I filter which projects get indexed?

You use listprojects to get the full list, then apply a filter in your LlamaIndex ingest pipeline to only index production applications.

Index Beagle Security vulnerabilities and test results directly into your LlamaIndex vector store.

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Connect Beagle Security MCP to LlamaIndex

Create your Vinkius account to connect Beagle Security 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 Beagle Security with LlamaIndex

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Build a searchable knowledge base of security findings

The `get_vulnerabilities` tool feeds live security findings directly into your LlamaIndex document pipeline. Your pipeline parses the raw JSON and indexes it, allowing semantic search over past security flaws. Instead of digging through PDFs, your agent queries this index to find recurring issues. It uses actual historical data from your scans to answer developer questions.

Query project configurations using LlamaIndex and MCP

With the `get_project_details` tool, you retrieve specific configuration data for your monitored targets. LlamaIndex indexes this metadata alongside your application profiles retrieved from `get_application_details`. This creates a unified map of your attack surface. Your query engine can instantly tell you which projects are active and which applications need immediate scans.

Track historical test trends with index queries

Using the `get_test_results` tool, your pipeline extracts structured metrics from past Beagle Security runs. LlamaIndex stores these runs as nodes, letting you query trend data over time. When you ask your agent about security progress, it compares past nodes to show if vulnerabilities are decreasing. This keeps your reporting grounded in actual test data.

Setup guide

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

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Common questions about Beagle Security MCP in LlamaIndex

You run `get_test_results` through the MCP client and load the output into a LlamaIndex Document object. From there, you vector-index the findings for semantic search.

Yes, by combining `list_projects` with `get_vulnerabilities` and indexing the historical outputs. Your agent can then search past flaws using natural language.

Your agent calls `get_test_status` directly to check live runs before querying the index. This ensures you aren't searching stale data while a scan is active.

You use `list_projects` to get the full list, then apply a filter in your LlamaIndex ingest pipeline to only index production applications.

Vinkius acts as a zero-trust proxy, passing your project configurations and vulnerability payloads directly to your LlamaIndex pipeline. No configuration data is cached or saved on Vinkius servers.

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