ARGUS Cloud MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ARGUS Cloud 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
Vinkius supports streamable HTTP and SSE.
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 ARGUS Cloud. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in ARGUS Cloud?"
)
print(response)
asyncio.run(main())
* 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 ARGUS Cloud MCP Server
The ARGUS Cloud MCP Server provides a high-level natural language interface to your Altus Group commercial real estate (CRE) management platform. Empower your AI agent to monitor your asset performance, audit portfolio health, and track real-time notifications directly from your workflow.
LlamaIndex agents combine ARGUS Cloud tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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.
Key Capabilities
- Asset Management — List all commercial properties in your account and retrieve detailed metadata including addresses and types.
- Portfolio Oversight — Access and analyze your CRE portfolios to see total asset counts and high-level configurations.
- Valuation Tracking — Monitor the latest valuation amounts for your properties to stay on top of market trends.
- Alerts & Notifications — Retrieve recent system alerts and notifications to ensure timely response to property-level issues.
- CRE Intelligence — Gain instant insights into your real estate investments without navigating complex financial models.
- Secure API Access — Uses your ARGUS Cloud API key for safe and authenticated communication with your assets.
The ARGUS Cloud MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ARGUS Cloud to LlamaIndex via MCP
Follow these steps to integrate the ARGUS Cloud MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from ARGUS Cloud
Why Use LlamaIndex with the ARGUS Cloud MCP Server
LlamaIndex provides unique advantages when paired with ARGUS Cloud through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ARGUS Cloud tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ARGUS Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ARGUS Cloud, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ARGUS Cloud tools were called, what data was returned, and how it influenced the final answer
ARGUS Cloud + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ARGUS Cloud MCP Server delivers measurable value.
Hybrid search: combine ARGUS Cloud real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ARGUS Cloud to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ARGUS Cloud for fresh data
Analytical workflows: chain ARGUS Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports
ARGUS Cloud MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect ARGUS Cloud to LlamaIndex via MCP:
get_account_check
Verify ARGUS account connection
get_asset
Get details for a specific asset
get_portfolio
Get details for a specific portfolio
list_assets
List all commercial real estate assets in your ARGUS account
list_notifications
List recent alerts and notifications from ARGUS
list_portfolios
List all asset portfolios
Example Prompts for ARGUS Cloud in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ARGUS Cloud immediately.
"List all commercial assets in my account."
"Show me the latest valuation for 'Sunrise Office Plaza'."
"Are there any recent alerts from ARGUS?"
Troubleshooting ARGUS Cloud MCP Server with LlamaIndex
Common issues when connecting ARGUS Cloud to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpARGUS Cloud + LlamaIndex FAQ
Common questions about integrating ARGUS Cloud MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect ARGUS Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ARGUS Cloud to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.