How do I find my BLS Registration Key?

Register for an account at the [**BLS developer portal**](https://data.bls.gov/registrationEngine/), and you will receive your Registration Key via email. Copy and paste it below.

A series ID is a unique code identifying a specific statistical dataset, such as 'CUUR0000SA0' for the Consumer Price Index.

Can I query multiple series at once?

Yes. The `get_bls_timeseries_data` tool accepts an array of series IDs to retrieve metadata for multiple datasets in a single request.

BLS Public Data API MCP Server for Pydantic AI 2 tools — connect in under 2 minutes

Name: BLS Public Data API
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 2 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BLS Public Data API 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 Public Data API "
            "(2 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in BLS Public Data API?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Public Data API MCP Server

Empower your AI agent to orchestrate your entire economic research and labor auditing workflow with the BLS Public Data API, the authoritative source for United States Bureau of Labor Statistics data. By connecting the BLS API to your agent, you transform complex macroeconomic searches into a natural conversation. Your agent can instantly retrieve historical time series data, audit employment trends, and query specific series IDs without you ever touching a government portal. Whether you are conducting market research or managing regional economic constraints, your agent acts as a real-time data analyst, ensuring your intelligence is always verified and precise.

Pydantic AI validates every BLS Public Data API tool response against typed schemas, catching data inconsistencies at build time. Connect 2 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.

What you can do

Series Auditing — Retrieve high-resolution time series data for thousands of BLS identifiers and maintain a clear view of economic changes.
Trend Oversight — Audit historical labor statistics to understand the longitudinal distribution of economic scale instantly.
Economic Discovery — Query specific series IDs like the Consumer Price Index (CPI) to identify relevant fiscal markers for your research.
Metadata Intelligence — Retrieve unique series identifiers and year-based metadata to assist in deep-dive data classification.
Operational Monitoring — Check API status to ensure your economic research workflow is always operational.

The BLS Public Data API MCP Server exposes 2 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 Public Data API to Pydantic AI via MCP

Follow these steps to integrate the BLS Public Data API 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 2 tools from BLS Public Data API with type-safe schemas

Why Use Pydantic AI with the BLS Public Data API MCP Server

Pydantic AI provides unique advantages when paired with BLS Public Data API 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 Public Data API 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 Public Data API connection logic from agent behavior for testable, maintainable code

BLS Public Data API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the BLS Public Data API MCP Server delivers measurable value.

Type-safe data pipelines: query BLS Public Data API with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple BLS Public Data API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query BLS Public Data API and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock BLS Public Data API responses and write comprehensive agent tests

BLS Public Data API MCP Tools for Pydantic AI (2)

These 2 tools become available when you connect BLS Public Data API to Pydantic AI via MCP:

check_api_status

Check if the BLS Public Data service is operational

get_bls_timeseries_data

Provide series IDs as a comma-separated string (e.g., "CUUR0000SA0,LNS14000000"). Get historical data for specific BLS series IDs

Example Prompts for BLS Public Data API in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with BLS Public Data API immediately.

"Get Consumer Price Index (CPI) data for the last 5 years using BLS."

"Show employment statistics for series 'LNS14000000' (Unemployment Rate)."

"Compare data for series 'WPUFD4' and 'WPUFD491' from 2020 to 2023."

Troubleshooting BLS Public Data API MCP Server with Pydantic AI

Common issues when connecting BLS Public Data API to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BLS Public Data API + Pydantic AI FAQ

Common questions about integrating BLS Public Data API 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 Public Data API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.