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

Q: How do I register the BLS Local — LAUS State & County Unemployment MCP Server inside AutoGen?

Install the extension with pip install -U "autogen-extmcp". Then, use mcpservertools to fetch the tools from your Vinkius endpoint and pass them to your AssistantAgent constructor.

Q: How do AutoGen agents handle invalid Series IDs from BLS Local — LAUS State & County Unemployment?

When the querybls tool returns an error, the agent that executed the call shares the failure with the group. Another agent can then debug the code and suggest the correct county series ID.

Let your AutoGen agents debate and analyze county-level LAUS unemployment trends using raw BLS timeseries.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

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

Create your Vinkius account to connect BLS Local — LAUS State & County Unemployment to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup BLS Local — LAUS State & County Unemployment with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run multi-agent debates on regional labor markets

The `query_bls` tool feeds real-time Local Area Unemployment Statistics directly into your AutoGen agent conversations. One agent can pull county-level data while another agent challenges the analysis using state-level baselines to reach a verified consensus. This setup prevents single-agent bias when analyzing volatile labor markets. Your agents debate the implications of the raw timeseries data, ensuring your final reports are thoroughly vetted.

Validate BLS Series IDs using an AutoGen critic agent

The `query_bls` tool requires exact numeric Series IDs to fetch the correct regional unemployment metrics. In an AutoGen group chat, a critic agent can verify the formatting of these IDs before the execution agent makes the actual call. This multi-agent validation loop prevents wasted API calls and reduces errors. If the format is wrong, the critic agent flags it, and the planning agent regenerates the correct county code.

Connect this server to your AutoGen group chats

The `query_bls` tool can be registered across multiple agents in your AutoGen network. By installing `autogen-ext[mcp]`, you expose the unemployment data tools to any agent that needs to run empirical economic checks. This MCP Server handles the underlying connection, allowing your agents to focus on their assigned roles. They can draft reports or audit data using the exact same BLS timeseries.

Setup guide

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

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes BLS Local — LAUS State & County Unemployment tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="BLS Local — LAUS State & County Unemployment_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BLS Local — LAUS State & County Unemployment data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="BLS Local — LAUS State & County Unemployment_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BLS Local — LAUS State & County Unemployment data")
    print(result.messages[-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BLS Local — LAUS State & County Unemployment now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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 AutoGen

Install the extension with `pip install -U "autogen-ext[mcp]"`. Then, use `mcp_server_tools` to fetch the tools from your Vinkius endpoint and pass them to your `AssistantAgent` constructor.

Yes, any agent in your AutoGen group chat that has been configured with the tool list can invoke the `query_bls` tool. This allows collaborative analysis where different agents fetch different county metrics.

When the `query_bls` tool returns an error, the agent that executed the call shares the failure with the group. Another agent can then debug the code and suggest the correct county series ID.

This setup supports both stdio and Streamable HTTP transports. The Vinkius platform manages these connections, ensuring your AutoGen agents can call the MCP tools without manual network configuration.

Yes, all requests for regional unemployment metrics are routed through encrypted, ephemeral V8 sandboxes. Your proprietary labor market queries are never logged, stored, or exposed to third parties.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript