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UpGuard MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Get Vendor, List Account Risks, List Identity Breaches, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add UpGuard as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The UpGuard MCP Server for LlamaIndex is a standout in the Fort Knox category — giving your AI agent 9 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to UpGuard. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in UpGuard?"
    )
    print(response)

asyncio.run(main())
UpGuard
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About UpGuard MCP Server

Connect your UpGuard account to any AI agent and simplify how you monitor your attack surface, assess third-party vendor risks, and protect your organization's digital assets through natural conversation.

LlamaIndex agents combine UpGuard tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Vendor Risk Assessment — List and query all monitored vendors to retrieve their security scores and metadata.
  • Risk Monitoring — List active security risks detected across your own infrastructure (BreachSight) and your vendor network (VendorRisk).
  • Data Breach Tracking — Monitor identity breaches affecting your workforce and retrieve detailed breach reports.
  • Asset Visibility — List monitored domains, IP ranges, and SaaS applications to understand your digital footprint.
  • Employee Security — Audit user-related risk data and identity theft exposures directly via AI commands.

The UpGuard MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 UpGuard tools available for LlamaIndex

When LlamaIndex connects to UpGuard through Vinkius, your AI agent gets direct access to every tool listed below — spanning attack-surface, vendor-risk, cybersecurity, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get vendor on UpGuard

Get details for a specific vendor

list

List account risks on UpGuard

List all active risks for the account

list

List identity breaches on UpGuard

List identity breaches

list

List monitored domains on UpGuard

List monitored domains

list

List monitored ips on UpGuard

List monitored IP addresses

list

List saas apps on UpGuard

List monitored SaaS applications

list

List user risks on UpGuard

List users and their risk data

list

List vendor risks on UpGuard

List active risks for a vendor

list

List vendors on UpGuard

List all monitored vendors

Connect UpGuard to LlamaIndex via MCP

Follow these steps to wire UpGuard into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 9 tools from UpGuard

Why Use LlamaIndex with the UpGuard MCP Server

LlamaIndex provides unique advantages when paired with UpGuard through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine UpGuard tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain UpGuard tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query UpGuard, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what UpGuard tools were called, what data was returned, and how it influenced the final answer

UpGuard + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the UpGuard MCP Server delivers measurable value.

01

Hybrid search: combine UpGuard real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query UpGuard to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying UpGuard for fresh data

04

Analytical workflows: chain UpGuard queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for UpGuard in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with UpGuard immediately.

01

"List all monitored vendors and their security scores."

02

"Show me the active risks for the vendor 'Microsoft'."

03

"Are there any recent identity breaches affecting our domain?"

Troubleshooting UpGuard MCP Server with LlamaIndex

Common issues when connecting UpGuard to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

UpGuard + LlamaIndex FAQ

Common questions about integrating UpGuard MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query UpGuard tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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