ARGUS Cloud MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ARGUS Cloud through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"argus-cloud": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using ARGUS Cloud, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with ARGUS Cloud through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the ARGUS Cloud MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from ARGUS Cloud via MCP
Why Use LangChain with the ARGUS Cloud MCP Server
LangChain provides unique advantages when paired with ARGUS Cloud through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ARGUS Cloud MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across ARGUS Cloud queries for multi-turn workflows
ARGUS Cloud + LangChain Use Cases
Practical scenarios where LangChain combined with the ARGUS Cloud MCP Server delivers measurable value.
RAG with live data: combine ARGUS Cloud tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ARGUS Cloud, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ARGUS Cloud tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ARGUS Cloud tool call, measure latency, and optimize your agent's performance
ARGUS Cloud MCP Tools for LangChain (6)
These 6 tools become available when you connect ARGUS Cloud to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting ARGUS Cloud to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersARGUS Cloud + LangChain FAQ
Common questions about integrating ARGUS Cloud MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.