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How to Use the BLS Local — LAUS State & County Unemployment MCP in Mastra AI

Build complex labor research workflows in Mastra AI using BLS Local — LAUS State & County Unemployment data.

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Connect BLS Local — LAUS State & County Unemployment MCP to Mastra AI

Create your Vinkius account to connect BLS Local — LAUS State & County Unemployment 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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Automated labor analysis in Mastra AI

Create agent workflows that trigger based on unemployment shifts. Use the `query_bls` tool to pull specific state data, then let your agents decide the next step. If the data shows a spike, the workflow engine handles the alert. It's built for multi-step logic that needs to be reliable.

Conditional data fetching for your agents

Set up your agents to request different BLS series based on previous findings. The `query_bls` tool provides the raw numbers your Mastra AI agents need to reason effectively. Branch your logic automatically. If one query returns empty, the workflow retries with a different series ID without manual intervention.

Deployable labor statistics for agents

Move your agent logic to production with one command. This MCP Server integrates with your Mastra AI workflow engine, ensuring your agents have constant access to accurate labor stats. Configure tool approvals to keep a human in the loop. You control exactly when the agent calls `query_bls` to fetch new data.

Setup guide

Set up BLS Local — LAUS State & County Unemployment 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All BLS Local — LAUS State & County Unemployment tools become native Mastra tools.

  4. 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: "bls-local-laus-state-county-unemployment-mcp-client",
  servers: {
    "bls-local-laus-state-county-unemployment-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "BLS Local — LAUS State & County Unemployment Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to BLS Local — LAUS State & County Unemployment tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent BLS Local — LAUS State & County Unemployment transactions"
);
console.log(result.text);

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Common questions about BLS Local — LAUS State & County Unemployment MCP in Mastra AI

Add the server URL to your Mastra client configuration. The agent automatically detects the tools and adds them to its capability set.
It can. The framework manages parallel execution, allowing your agents to gather data from multiple states simultaneously.
We use strict memory isolation for every agent session. No other user can access the specific labor statistics you request.
Mastra AI manages the workflow retries. If a request hits a snag, the agent will handle it according to your defined policy.
They are. You can schedule your agents to pull data and compile reports without you touching a keyboard.

Start using the BLS Local — LAUS State & County Unemployment MCP today

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