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How to Use the UpGuard MCP in LlamaIndex

Index Live Security Data and Build RAG Apps with UpGuard using LlamaIndex.

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LlamaIndex

Connect UpGuard MCP to LlamaIndex

Create your Vinkius account to connect UpGuard 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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Search Past Breach Reports

Run `list_identity_breaches` to pull recent breach details. By passing this output into an index, you turn live incident data into a searchable knowledge base for LlamaIndex. Later queries retrieve answers grounded in actual API data, eliminating hallucinations and letting your RAG application answer questions about past security events.

Analyze Vendor Risk History

You can call `list_vendor_risks` for a specific partner. Indexing these results means you don't just see the current risk; you build a historical index of how that vendor's risk has changed over time. LlamaIndex queries then allow users to ask, 'What were the major risks associated with Vendor X last quarter?' using indexed API data.

Build SaaS Application Audit Index

Start by listing all monitored applications via `list_saas_apps`. Indexing this list allows your developer to combine configuration details with documentation. Your LlamaIndex application can then answer complex questions like, 'Which of our listed SaaS apps are associated with IPs that have been flagged as high risk?'

Setup guide

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

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

UpGuard's MCP Server makes live API data searchable. You index the results from tools like `list_account_risks` and then query that knowledge base with LlamaIndex, getting answers based on real security metrics.
Yes. Use `list_monitored_ips` to get the data. By indexing this output, your LlamaIndex application can provide semantic search capabilities over all monitored network assets.
You can index multiple sources of risk data. This includes both `list_user_risks` and specific vendor risks from `list_vendor_risks`, allowing your knowledge base to cover identity, user, and partner risk simultaneously.
Yes. The `list_monitored_domains` tool provides the source data. When indexed by LlamaIndex, it lets you query a knowledge base about specific domain status and associated risks.
This MCP Server touches user risk data from `list_user_risks`. When building your RAG application, the index stores these raw API results; proper access control must be managed by your developer.

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