Green Street MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Green Street 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 Green Street. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Green Street?"
)
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 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.
LlamaIndex agents combine Green Street tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- 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 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 Green Street to LlamaIndex via MCP
Follow these steps to integrate the Green Street 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 12 tools from Green Street
Why Use LlamaIndex with the Green Street MCP Server
LlamaIndex provides unique advantages when paired with Green Street through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Green Street tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Green Street tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Green Street, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Green Street tools were called, what data was returned, and how it influenced the final answer
Green Street + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Green Street MCP Server delivers measurable value.
Hybrid search: combine Green Street real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Green Street 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 Green Street for fresh data
Analytical workflows: chain Green Street queries with LlamaIndex's data connectors to build multi-source analytical reports
Green Street MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Green Street to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Green Street to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGreen Street + LlamaIndex FAQ
Common questions about integrating Green Street 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 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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.