How to Use the BLS Labor Force — National Unemployment & CPS MCP in Pydantic AI

Q: How do I initialize the BLS Labor Force — National Unemployment & CPS MCP Server in Pydantic AI?

Install pydantic-ai-slimmcp and use the unified MCPToolset pointing to your Vinkius HTTP endpoint. Pass this toolset object directly inside the toolsets list of your Agent constructor.

Q: Can Pydantic AI handle custom series lookups via BLS Labor Force — National Unemployment & CPS?

Yes, you can use the querybls tool to query up to 50 custom series IDs. The system validates the returned list of timeseries data against the expected schema at runtime.

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Connect BLS Labor Force — National Unemployment & CPS MCP to Pydantic AI

Create your Vinkius account to connect BLS Labor Force — National Unemployment & CPS to Pydantic 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 BLS Labor Force — National Unemployment & CPS with Pydantic AI

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Validate CPS data at runtime with Pydantic AI

Stop worrying about silent failures or corrupted economic data. By calling `get_unemployment_rate`, your agent fetches the official national unemployment rate and validates the schema instantly. This MCP Server integration ensures your application fails loudly rather than processing data with silent bugs. You get guaranteed type safety for critical workforce metrics.

Strict validation for bulk series queries

Use `query_bls` to pull up to 50 historical timeseries concurrently using explicit series IDs. Every returned data point is parsed and validated against strict Pydantic models before your agent ever sees it. This eliminates hallucinated fields and ensures your downstream analysis code receives exactly what it expects. It is the safest way to ingest raw labor force participation rates.

Unified toolset integration

Connect this MCP Server using the unified `MCPToolset` class. This modern approach replaces deprecated HTTP classes and ensures a clean, long-term setup for your production agents. The toolset handles the SSE or Streamable HTTP transport protocols automatically. Your agent gets direct, secure access to the Current Population Survey data with minimal boilerplate.

Setup guide

Set up BLS Labor Force — National Unemployment & CPS MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "bls-labor-force-national-unemployment-cps-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to BLS Labor Force — National Unemployment & CPS tools.",
)

result = await agent.run("List recent BLS Labor Force — National Unemployment & CPS transactions")
print(result.output)

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Common questions about BLS Labor Force — National Unemployment & CPS MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and use the unified `MCPToolset` pointing to your Vinkius HTTP endpoint. Pass this toolset object directly inside the `toolsets` list of your Agent constructor.

The framework will raise a validation error immediately. This prevents your agent from making decisions based on malformed or hallucinated unemployment data.

Yes, you can use the `query_bls` tool to query up to 50 custom series IDs. The system validates the returned list of timeseries data against the expected schema at runtime.

This configuration supports both Streamable HTTP and SSE transports. You just need to run the server externally and point the toolset to the correct endpoint.

Every request handled by this MCP Server is processed within a single-use V8 sandbox. We do not store or inspect the series IDs or payload parameters your agent transmits. All communication uses secure, encrypted channels that are wiped clean immediately after execution.

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