Does it list ALL US Counties?

Yes, LAUS captures more than 3,100 specific county data-series actively every month.

Go to data.bls.gov/registrationEngine. It's totally free.

Can it run with Jobs data?

Yes, merging state LAUS data with national CES nonfarm data provides an excellent contrast for macro reports.

BLS Local — LAUS State & County Unemployment MCP Server for Pydantic AI 1 tools — connect in under 2 minutes

Name: BLS Local — LAUS State & County Unemployment
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 1 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BLS Local — LAUS State & County Unemployment through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to BLS Local — LAUS State & County Unemployment "
            "(1 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in BLS Local — LAUS State & County Unemployment?"
    )
    print(result.data)

asyncio.run(main())

BLS Local — LAUS State & County Unemployment

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About BLS Local — LAUS State & County Unemployment MCP Server

While other tools look at the USA as a whole, the Local Area Unemployment Statistics (LAUS) MCP provides hyper-localized focus.

Pydantic AI validates every BLS Local — LAUS State & County Unemployment tool response against typed schemas, catching data inconsistencies at build time. Connect 1 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Included granularity

State Level — Compare California vs Texas.
County Level — Compare Miami-Dade vs Cook County.
Metropolitan Statistical Areas (MSAs)

The BLS Local — LAUS State & County Unemployment MCP Server exposes 1 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BLS Local — LAUS State & County Unemployment to Pydantic AI via MCP

Follow these steps to integrate the BLS Local — LAUS State & County Unemployment MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 1 tools from BLS Local — LAUS State & County Unemployment with type-safe schemas

Why Use Pydantic AI with the BLS Local — LAUS State & County Unemployment MCP Server

Pydantic AI provides unique advantages when paired with BLS Local — LAUS State & County Unemployment through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your BLS Local — LAUS State & County Unemployment integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your BLS Local — LAUS State & County Unemployment connection logic from agent behavior for testable, maintainable code

BLS Local — LAUS State & County Unemployment + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the BLS Local — LAUS State & County Unemployment MCP Server delivers measurable value.

Type-safe data pipelines: query BLS Local — LAUS State & County Unemployment with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple BLS Local — LAUS State & County Unemployment tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query BLS Local — LAUS State & County Unemployment and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock BLS Local — LAUS State & County Unemployment responses and write comprehensive agent tests

BLS Local — LAUS State & County Unemployment MCP Tools for Pydantic AI (1)

These 1 tools become available when you connect BLS Local — LAUS State & County Unemployment to Pydantic AI via MCP:

query_bls

Use this instead of specific endpoints if you intimately know the underlying numerical code. Up to 50 concurrent lookbacks allowed. Generic BLS v2 api timeseries query. Requires explicit BLS Series IDs

Example Prompts for BLS Local — LAUS State & County Unemployment in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with BLS Local — LAUS State & County Unemployment immediately.

"What's the unemployment rate like in Florida right now?"

"Identify which MSAs (Metros) have the lowest and highest rates."

"How did New York perform post-pandemic on employment?"

Troubleshooting BLS Local — LAUS State & County Unemployment MCP Server with Pydantic AI

Common issues when connecting BLS Local — LAUS State & County Unemployment to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BLS Local — LAUS State & County Unemployment + Pydantic AI FAQ

Common questions about integrating BLS Local — LAUS State & County Unemployment MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your BLS Local — LAUS State & County Unemployment MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.