BLS Jobs — Nonfarm Payrolls & Wages MCP Server for LlamaIndex 2 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BLS Jobs — Nonfarm Payrolls & Wages as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to BLS Jobs — Nonfarm Payrolls & Wages. "
"You have 2 tools available."
),
)
response = await agent.run(
"What tools are available in BLS Jobs — Nonfarm Payrolls & Wages?"
)
print(response)
asyncio.run(main())
* 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 Jobs — Nonfarm Payrolls & Wages MCP Server
Connect to the exact datasets used by Wall Street and the Federal Reserve to monitor US Job growth. The Bureau of Labor Statistics Jobs MCP gives your agent direct access to the Current Employment Statistics (CES) program.
LlamaIndex agents combine BLS Jobs — Nonfarm Payrolls & Wages tool responses with indexed documents for comprehensive, grounded answers. Connect 2 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Nonfarm Payrolls — Fetch exactly how many jobs were added to the US economy each month.
- Sector Breakdowns — Drill down into tech, hospitality, or construction employment trends.
- Wages & Earnings — Query the average hourly earnings to monitor wage growth and labor tightness.
The BLS Jobs — Nonfarm Payrolls & Wages MCP Server exposes 2 tools through the Vinkius. Connect it to LlamaIndex 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 Jobs — Nonfarm Payrolls & Wages to LlamaIndex via MCP
Follow these steps to integrate the BLS Jobs — Nonfarm Payrolls & Wages MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 Jobs — Nonfarm Payrolls & Wages
Why Use LlamaIndex with the BLS Jobs — Nonfarm Payrolls & Wages MCP Server
LlamaIndex provides unique advantages when paired with BLS Jobs — Nonfarm Payrolls & Wages through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BLS Jobs — Nonfarm Payrolls & Wages tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BLS Jobs — Nonfarm Payrolls & Wages tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BLS Jobs — Nonfarm Payrolls & Wages, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BLS Jobs — Nonfarm Payrolls & Wages tools were called, what data was returned, and how it influenced the final answer
BLS Jobs — Nonfarm Payrolls & Wages + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BLS Jobs — Nonfarm Payrolls & Wages MCP Server delivers measurable value.
Hybrid search: combine BLS Jobs — Nonfarm Payrolls & Wages real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BLS Jobs — Nonfarm Payrolls & Wages to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying BLS Jobs — Nonfarm Payrolls & Wages for fresh data
Analytical workflows: chain BLS Jobs — Nonfarm Payrolls & Wages queries with LlamaIndex's data connectors to build multi-source analytical reports
BLS Jobs — Nonfarm Payrolls & Wages MCP Tools for LlamaIndex (2)
These 2 tools become available when you connect BLS Jobs — Nonfarm Payrolls & Wages to LlamaIndex via MCP:
get_nonfarm_payrolls
Key metric for forecasting Federal Reserve interest rate movements. Get Total Nonfarm Payroll employment (CES0000000001)
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 Jobs — Nonfarm Payrolls & Wages in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BLS Jobs — Nonfarm Payrolls & Wages immediately.
"What was the total Nonfarm Payroll growth in the last quarter?"
"Show me the average hourly earnings trend for all private workers."
"Which sector added the most jobs in December?"
Troubleshooting BLS Jobs — Nonfarm Payrolls & Wages MCP Server with LlamaIndex
Common issues when connecting BLS Jobs — Nonfarm Payrolls & Wages to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBLS Jobs — Nonfarm Payrolls & Wages + LlamaIndex FAQ
Common questions about integrating BLS Jobs — Nonfarm Payrolls & Wages MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect BLS Jobs — Nonfarm Payrolls & Wages with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BLS Jobs — Nonfarm Payrolls & Wages to LlamaIndex
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.