How to Use the U.S. Census Income — Median Income, Poverty & Economy MCP in Mastra AI
Reliable Data Pipelines for Mastra AI: Build multi-step Census Income workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect U.S. Census Income — Median Income, Poverty & Economy MCP to Mastra AI
Create your Vinkius account to connect U.S. Census Income — Median Income, Poverty & Economy 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.
Manage complex economic data flows with the MCP Server.
The `get_income_by_state` tool retrieves median household income and poverty rates for every state. Mastra AI uses this in a workflow that checks if the required market opportunity criteria are met before proceeding to the next step. If initial data points look wrong, the agent can automatically retry the call or notify an admin via a defined failure path. It's built for reliability.
Analyze business patterns and employee counts.
Running `get_business_patterns` gives you the definitive count of establishments, employees, and payroll by county. This is ideal when your workflow requires verifying local economic activity before approving a site selection. Mastra AI handles the asynchronous nature of this data retrieval. The multi-step process ensures that all four pieces of information—establishments, employees, payroll, and median income—are gathered successfully.
Determine educational gaps using Mastra AI.
You can use `get_education_by_state` to gather educational attainment data across all states. This is a necessary condition check in your workflow, determining if the target region meets minimum development standards. The built-in conditional branching lets you say: 'If education level is below X, then route request to secondary analysis; otherwise, continue.' It's robust failure handling.
Set up U.S. Census Income — Median Income, Poverty & Economy MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. 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'stoolsobject. All U.S. Census Income — Median Income, Poverty & Economy tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "us-census-income-median-income-poverty-economy-mcp-client",
servers: {
"us-census-income-median-income-poverty-economy-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "U.S. Census Income — Median Income, Poverty & Economy Agent",
model: openai("gpt-4o"),
instructions: "You have access to U.S. Census Income — Median Income, Poverty & Economy tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent U.S. Census Income — Median Income, Poverty & Economy transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by U.S. Census Bureau. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about U.S. Census Income — Median Income, Poverty & Economy MCP in Mastra AI
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