How to Use the Lightcast Labor Market MCP in Mastra AI

Q: How do I require human approval for Lightcast Labor Market actions in Mastra AI?

You can enable the requireToolApproval flag in your Mastra AI agent configuration. This stops the agent before it executes tools like getskilldetails, letting a human review the query parameters first.

Q: Can I run Lightcast Labor Market workflows offline with Mastra AI?

No, tools like liststandardizedjobtitles require an active connection to the Lightcast API. However, Mastra AI can run locally while securely tunneling your requests to the MCP Server.

Build reliable, multi-step labor market workflows with Mastra AI and this MCP Server.

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Connect Lightcast Labor Market MCP to Mastra AI

Create your Vinkius account to connect Lightcast Labor Market 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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Setup Lightcast Labor Market with Mastra AI

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Automated Regional Auditing

The `quick_labor_market_audit` tool gets a quick summary of skills and active occupations within the Lightcast index. Your agent uses this to run rapid checks on regional economic health. Within a Mastra AI workflow, you can trigger this audit automatically whenever a client requests a territory expansion plan. The built-in workflow engine handles any API rate limits with automatic retries so your data pipeline never breaks.

Map Skill Taxonomies with Mastra AI

The `list_skill_taxonomic_categories` tool exposes high-level categories for organizing specialized and soft skills. Your agent uses this to structure messy corporate training requirements. Mastra AI allows you to chain this tool with `list_taxonomically_related_skills` to build recursive skill-mapping pipelines. If a step fails, the framework automatically retries with exponential backoff to ensure your taxonomy remains complete.

Multi-Step Occupation Mapping

The `list_standardized_occupations` tool maps job descriptions to standardized SOC and O*NET compatible roles. Your agent queries this list to normalize hiring data across different business units. You can write conditional branching logic in Mastra AI to handle roles that do not map cleanly. If the agent fails to find a standardized match, the workflow branches to notify an admin while continuing to process the rest of the batch.

Setup guide

Set up Lightcast Labor Market 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Lightcast Labor Market tools become native Mastra tools.
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: "lightcast-labor-market-mcp-client",
  servers: {
    "lightcast-labor-market-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Lightcast Labor Market Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Lightcast Labor Market tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Lightcast Labor Market transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lightcast Labor Market. 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 Lightcast Labor Market MCP in Mastra AI

You register the MCP Server URL inside your Mastra AI client configuration block. Once connected, your Mastra agents can automatically call tools like `list_economic_regions` as steps in your custom workflows.

Yes, Mastra AI features a built-in workflow engine that automatically retries failed calls to `get_labor_market_region_summary`. This prevents your pipeline from crashing when hitting tight API limits.

You can enable the `requireToolApproval` flag in your Mastra AI agent configuration. This stops the agent before it executes tools like `get_skill_details`, letting a human review the query parameters first.

No, tools like `list_standardized_job_titles` require an active connection to the Lightcast API. However, Mastra AI can run locally while securely tunneling your requests to the MCP Server.

Yes, all data processed by the MCP Server runs in an isolated sandbox. Your proprietary skill lists and regional queries are processed in memory and never written to persistent logs.

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