Green Street MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Green Street 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({
"green-street": {
"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 Green Street, 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 Green Street MCP Server
Connect your Green Street account to any AI agent and take full control of your commercial real estate (CRE) and REIT intelligence through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Green Street through native MCP adapters. Connect 12 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.
What you can do
- Company Orchestration — List all listed REITs and companies in your coverage and retrieve primary financial summaries natively
- Live Metric Retrieval — Resolve deep specific metrics including Net Asset Values (NAVs), earnings (FFO/FAD), and capitalization rates flawlessly
- Market Analytics — Extract market-level analytics and grades to understand competitive rankings across property sectors synchronously
- Strategic Forecasting — Access forward-looking market projections and NOI forecasts generated by Green Street's advisory teams natively
- News Intelligence — Search and retrieve curated commercial real estate news articles and excerpts to stay ahead of market shifts synchronously
- Portfolio Navigation — Identify geographic and property-type breakouts for specific REIT portfolios to audit exposure flawlessly
The Green Street MCP Server exposes 12 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 Green Street to LangChain via MCP
Follow these steps to integrate the Green Street 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 12 tools from Green Street via MCP
Why Use LangChain with the Green Street MCP Server
LangChain provides unique advantages when paired with Green Street through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Green Street 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 Green Street queries for multi-turn workflows
Green Street + LangChain Use Cases
Practical scenarios where LangChain combined with the Green Street MCP Server delivers measurable value.
RAG with live data: combine Green Street tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Green Street, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Green Street tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Green Street tool call, measure latency, and optimize your agent's performance
Green Street MCP Tools for LangChain (12)
These 12 tools become available when you connect Green Street to LangChain via MCP:
get_company_summary
Get financial summary for a specific company by symbol
get_earnings_metrics
Get FFO/FAD earnings data for a company
get_forecast_scenarios
Retrieve forward-looking market and sector projections
get_historical_transactions
Retrieve historical transaction summaries
get_market_grades
Get grades and rankings for a specific market
get_market_projections
Get forward-looking NOI projections for a market
get_market_sector_summary
Get analytics and grades for a specific market sector
get_nav_estimates
Get Net Asset Value (NAV) estimates for a company
get_news_articles
Search and retrieve commercial real estate news
get_portfolio_breakout
Get geographic and property-type breakouts for a portfolio
list_companies
List all REITs and real estate companies covered by Green Street
list_sectors
List available real estate sectors
Example Prompts for Green Street in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Green Street immediately.
"List all listed REITs in the Industrial sector"
"What is the market grade for the New York Office market?"
"Show me the portfolio breakout for Prologis (PLD)"
Troubleshooting Green Street MCP Server with LangChain
Common issues when connecting Green Street to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGreen Street + LangChain FAQ
Common questions about integrating Green Street 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 Green Street 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 Green Street to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.