BLS JOLTS — Job Openings, Quits & Turnover 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 JOLTS — Job Openings, Quits & Turnover as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 JOLTS — Job Openings, Quits & Turnover. "
"You have 2 tools available."
),
)
response = await agent.run(
"What tools are available in BLS JOLTS — Job Openings, Quits & Turnover?"
)
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 JOLTS — Job Openings, Quits & Turnover MCP Server
Understand labor supply and demand dynamics utilizing the exact JOLTS (Job Openings and Labor Turnover Survey) API.
LlamaIndex agents combine BLS JOLTS — Job Openings, Quits & Turnover 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.
Core Metrics Included
- Quits Level (The 'Great Resignation' index)
- Hires Level
- Layoffs & Discharges
- Job Openings
The BLS JOLTS — Job Openings, Quits & Turnover 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 JOLTS — Job Openings, Quits & Turnover to LlamaIndex via MCP
Follow these steps to integrate the BLS JOLTS — Job Openings, Quits & Turnover 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 JOLTS — Job Openings, Quits & Turnover
Why Use LlamaIndex with the BLS JOLTS — Job Openings, Quits & Turnover MCP Server
LlamaIndex provides unique advantages when paired with BLS JOLTS — Job Openings, Quits & Turnover through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BLS JOLTS — Job Openings, Quits & Turnover tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BLS JOLTS — Job Openings, Quits & Turnover tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BLS JOLTS — Job Openings, Quits & Turnover, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BLS JOLTS — Job Openings, Quits & Turnover tools were called, what data was returned, and how it influenced the final answer
BLS JOLTS — Job Openings, Quits & Turnover + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BLS JOLTS — Job Openings, Quits & Turnover MCP Server delivers measurable value.
Hybrid search: combine BLS JOLTS — Job Openings, Quits & Turnover real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BLS JOLTS — Job Openings, Quits & Turnover 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 JOLTS — Job Openings, Quits & Turnover for fresh data
Analytical workflows: chain BLS JOLTS — Job Openings, Quits & Turnover queries with LlamaIndex's data connectors to build multi-source analytical reports
BLS JOLTS — Job Openings, Quits & Turnover MCP Tools for LlamaIndex (2)
These 2 tools become available when you connect BLS JOLTS — Job Openings, Quits & Turnover to LlamaIndex via MCP:
get_jolts_data
Critical for determining the Great Resignation impacts. Get Job Openings (JOLTS) national metrics
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 JOLTS — Job Openings, Quits & Turnover in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BLS JOLTS — Job Openings, Quits & Turnover immediately.
"What is the latest reading on total job openings?"
"Compare Quits vs Layoffs over the last quarter."
"Summarize the turnover for Information / Tech sectors."
Troubleshooting BLS JOLTS — Job Openings, Quits & Turnover MCP Server with LlamaIndex
Common issues when connecting BLS JOLTS — Job Openings, Quits & Turnover to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBLS JOLTS — Job Openings, Quits & Turnover + LlamaIndex FAQ
Common questions about integrating BLS JOLTS — Job Openings, Quits & Turnover 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?
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Connect BLS JOLTS — Job Openings, Quits & Turnover to LlamaIndex
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.