How to Use the BLS JOLTS — Job Openings, Quits & Turnover MCP in Mastra AI
Build automated labor market workflows with Mastra AI and the JOLTS MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BLS JOLTS — Job Openings, Quits & Turnover MCP to Mastra AI
Create your Vinkius account to connect BLS JOLTS — Job Openings, Quits & Turnover 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.
Trigger labor market workflows in Mastra AI
`get_jolts_data` acts as the primary data trigger for your automated economic workflows. If the national quit rate spikes beyond a set threshold, your agent automatically branches to run deeper regional hiring analyses. You register the tool by spreading the client list into your agent configuration. Mastra AI handles transient network errors by automatically retrying the federal API with exponential backoff.
Run parallel BLS series lookbacks with safety gates
`query_bls` executes up to 50 concurrent lookbacks to compare historical labor market tightness across different decades. Mastra AI coordinates these heavy lookups sequentially or in parallel depending on your workflow definition. You can enforce human-in-the-loop approval before executing expensive queries. The framework pauses the run, alerts your team, and resumes only when you approve the series ID parameters.
Deploy autonomous economic monitors to the cloud
`get_jolts_data` monitors the balance between job openings and voluntary separations. Your deployed agent runs on a schedule, pulling the latest JOLTS release to check for shifts in labor market tightness. Deploying your Mastra AI labor monitoring agent takes a single terminal command. The JOLTS MCP Server runs in a sandboxed environment, maintaining persistent connections via SSE to feed your Mastra AI agents.
Set up BLS JOLTS — Job Openings, Quits & Turnover 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 BLS JOLTS — Job Openings, Quits & Turnover 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: "bls-jolts-job-openings-quits-turnover-mcp-client",
servers: {
"bls-jolts-job-openings-quits-turnover-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "BLS JOLTS — Job Openings, Quits & Turnover Agent",
model: openai("gpt-4o"),
instructions: "You have access to BLS JOLTS — Job Openings, Quits & Turnover tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent BLS JOLTS — Job Openings, Quits & Turnover 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 Bureau of Labor Statistics. 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 BLS JOLTS — Job Openings, Quits & Turnover MCP in Mastra AI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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