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

Coordinate specialized labor research agents in CrewAI with BLS Local — LAUS State & County Unemployment.

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Connect BLS Local — LAUS State & County Unemployment MCP to CrewAI

Create your Vinkius account to connect BLS Local — LAUS State & County Unemployment to CrewAI 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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Collaborative labor research for CrewAI

Assign a research agent to fetch labor stats while your analysis agent interprets the numbers. The `query_bls` tool acts as the shared data source for the whole crew. Keep your agents focused. One handles the `query_bls` calls, while another formats the output into a report for your team.

Sequential labor data processing

Chain your agents to handle complex statistical tasks. The first agent identifies the correct series IDs, and the second agent executes `query_bls` to pull the actual data. Build hierarchical teams that delegate data fetching. This keeps your CrewAI setup organized and efficient for large-scale data tasks.

Autonomous labor monitoring

Let your crew watch for economic changes in specific regions. By mapping `query_bls` to an autonomous agent, you get real-time monitoring of unemployment trends. Your agents act on the data without needing your input. They compare findings against your benchmarks and report back only when the criteria are met.

Setup guide

Set up BLS Local — LAUS State & County Unemployment MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke BLS Local — LAUS State & County Unemployment tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="BLS Local — LAUS State & County Unemployment Analyst",
    goal="Access and analyze BLS Local — LAUS State & County Unemployment data via MCP.",
    backstory="Expert analyst with direct BLS Local — LAUS State & County Unemployment access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent BLS Local — LAUS State & County Unemployment transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Single dashboard

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Every tool your AI connects to, managed from a single screen. One account, complete control.

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

Yes. Add the server URL to your agent definition. The crew will gain access to the data tools immediately.
You use tool filters to grant specific agents access to the data. This ensures only the research agent touches the BLS tools.
We enforce ephemeral, zero-trust access for every agent. Your labor data is purged as soon as the session ends.
The server supports 50 concurrent lookbacks. Your agents can pull broad data sets without overloading the connection.
You can. The server works over SSE or Streamable HTTP, fitting right into your existing CrewAI architecture.

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

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Built & Managed by Vinkius 30s setup 1 tools

We've already built the connector for BLS Local — LAUS State & County Unemployment. Just plug in your AI agents and start using Vinkius.

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All 1 tools are live and waiting. You're up and running in seconds.

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