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How to Use the BLS Jobs — Nonfarm Payrolls & Wages MCP in Mastra AI

Build automated economic research workflows in Mastra AI with precise BLS employment data.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect BLS Jobs — Nonfarm Payrolls & Wages MCP to Mastra AI

Create your Vinkius account to connect BLS Jobs — Nonfarm Payrolls & Wages 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 payroll workflows for Mastra AI

Trigger `get_nonfarm_payrolls` within your Mastra agent workflows to inform decision-making. If the payroll numbers drop, your agent can branch to a specific analysis task automatically. This setup allows for complex conditional logic based on actual government data. You define the thresholds, and the agent executes the research steps.

Batch BLS processing in Mastra AI

Run multiple `query_bls` operations across different series IDs to build a comprehensive historical view. The framework manages the sequence and retries if the connection drops. Your agents handle the heavy lifting while you define the workflow steps. It is built for multi-step jobs that require consistency.

Reliable data ingestion for agents

Integrate this MCP Server to feed your agents accurate CES program data. The workflow engine ensures that each step completes before moving to the next economic indicator. This keeps your agentic processes predictable. You get a clear audit trail of every job data lookup performed.

Setup guide

Set up BLS Jobs — Nonfarm Payrolls & Wages 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 Jobs — Nonfarm Payrolls & Wages 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-jobs-nonfarm-payrolls-wages-mcp-client",
  servers: {
    "bls-jobs-nonfarm-payrolls-wages-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "BLS Jobs — Nonfarm Payrolls & Wages Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to BLS Jobs — Nonfarm Payrolls & Wages tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent BLS Jobs — Nonfarm Payrolls & Wages transactions"
);
console.log(result.text);

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Common questions about BLS Jobs — Nonfarm Payrolls & Wages MCP in Mastra AI

Add the server to your agent configuration and list the tools. You then call the payroll function within your agent's task definitions.
Yes, the Mastra framework supports automatic retries for failed tool calls. You configure the backoff strategy in your agent setup.
You can toggle the approval requirement in your agent code. This ensures a human verifies the data request before the agent moves forward.
The `query_bls` tool allows you to pass any valid series ID. You can fetch specific historical data points as your agent requires.
The server uses a strictly ephemeral connection for every agent session. No data is stored, and the transport layer is fully encrypted.

Start using the BLS Jobs — Nonfarm Payrolls & Wages MCP today

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