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How to Use the BLS Wages — OEWS Occupational Employment MCP in Mastra AI

Build automated HR workflows with Mastra AI and live BLS wage statistics.

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Connect BLS Wages — OEWS Occupational Employment MCP to Mastra AI

Create your Vinkius account to connect BLS Wages — OEWS Occupational Employment 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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Build resilient wage workflows with Mastra AI

Running the `query_bls` tool inside a Mastra AI workflow ensures your occupational wage lookups never fail silently due to rate limits. Government APIs are finicky, but this MCP server integration lets you configure automatic retries with exponential backoff. If a series lookup fails, the agent pauses, backs off, and tries again without crashing your entire pipeline. Your automated payroll or recruiting tools keep running smoothly in the background.

Human-in-the-loop validation for HR data

Protect sensitive salary queries by wrapping the `query_bls` tool in Mastra's `requireToolApproval` step. Using Mastra's approval gate in this MCP integration is a lifesaver when dealing with critical HR decisions. This keeps a human supervisor in control of salary choices while letting the agent do the heavy lifting of pulling raw stats.

Conditional branching based on median earnings

Branch your workflow logic dynamically based on the salary data returned by the `query_bls` tool. Mastra's workflow engine lets you build complex conditional statements around your wage queries. If the agent finds that a state's median wage exceeds a certain threshold, it can automatically branch to run different analysis tools. This lets you build fully autonomous recruiting pipelines that adjust offer ranges on the fly.

Setup guide

Set up BLS Wages — OEWS Occupational Employment 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 Wages — OEWS Occupational Employment 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-wages-oews-occupational-employment-mcp-client",
  servers: {
    "bls-wages-oews-occupational-employment-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent BLS Wages — OEWS Occupational Employment transactions"
);
console.log(result.text);

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Common questions about BLS Wages — OEWS Occupational Employment MCP in Mastra AI

Instantiate the `MCPClient` from `@mastra/mcp` with the Vinkius URL. Then, call `listTools()` and spread the resulting tools into your Mastra Agent configuration to expose `query_bls`.
Yes. You can chain the `query_bls` tool with other Mastra tools in a workflow, using conditional branching to route data based on the returned occupational wages.
Use Mastra's built-in workflow engine to configure automatic retries. If the `query_bls` tool hits a temporary wall, Mastra will back off and retry the request automatically.
Yes. You can use the `requireToolApproval` setting on your agent to force a pause whenever the model attempts to execute `query_bls`.
No. Vinkius executes the MCP Server in a secure, ephemeral V8 sandbox. Your requested BLS Series IDs and occupational employment filters are never logged or stored permanently, maintaining absolute data isolation.

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