How to Use the Green Street MCP in Mastra AI

Q: Is human approval possible for Green Street actions in Mastra AI?

You can set requireToolApproval for any tool. This ensures a human reviews the output of getnavestimates before the agent takes further action.

Build resilient CRE workflows in Mastra AI using the Green Street MCP server for automated research.

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Connect Green Street MCP to Mastra AI

Create your Vinkius account to connect Green Street to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Green Street with Mastra AI

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Conditional research flows in Mastra AI

Chain multiple operations to build a complete investment thesis. Your agent uses `get_company_summary` first, then branches based on the results to trigger `get_nav_estimates` if the company meets specific criteria. This logic handles failures or missing data points automatically. It ensures your workflow only proceeds when the data is valid.

Automated market monitoring for Mastra AI

Set up agents to watch specific sectors using `list_sectors` and `get_market_grades`. When an agent detects a grade shift, it triggers a follow-up action to get news via `get_news_articles`. Your Mastra AI agent manages these multi-step processes without manual intervention. It stays on top of market movements 24/7.

Transaction data processing in Mastra AI

Integrate `get_historical_transactions` into your agent's decision-making loop to compare current deals against historical benchmarks. Your Mastra AI code can parse these results and decide whether to alert an analyst. It turns a static report into a functional component of your automated operations. Your agent performs the comparison in milliseconds.

Setup guide

Set up Green Street MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Green Street tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "green-street-mcp-client",
  servers: {
    "green-street-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Green Street Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Green Street tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Green Street transactions"
);
console.log(result.text);

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Common questions about Green Street MCP in Mastra AI

You import the MCP client into your Mastra agent definition. Once configured, you spread the available tools into the agent's toolset for immediate use.

Yes. Mastra AI natively supports exponential backoff for tool execution. If a request to `get_forecast_scenarios` fails, the framework manages the retry logic.

It is designed for this. You can define a sequence where the agent gathers data from `get_market_projections` before making a final report.

You can set `requireToolApproval` for any tool. This ensures a human reviews the output of `get_nav_estimates` before the agent takes further action.

The server uses token-based authentication for every session. Your data requests are encrypted in transit, ensuring that only your authorized agent processes the retrieved market insights.

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