Green Street MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Green Street through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Green Street "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Green Street?"
)
print(result.data)
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.
Pydantic AI validates every Green Street tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Green Street MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Green Street MCP Server
Pydantic AI provides unique advantages when paired with Green Street through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Green Street integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Green Street connection logic from agent behavior for testable, maintainable code
Green Street + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Green Street MCP Server delivers measurable value.
Type-safe data pipelines: query Green Street with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Green Street tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Green Street and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Green Street responses and write comprehensive agent tests
Green Street MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Green Street to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Green Street to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGreen Street + Pydantic AI FAQ
Common questions about integrating Green Street MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.