How to Use the US WARN Act Compliance Calculator MCP in LlamaIndex
Index WARN Act liability calculations directly into your LlamaIndex knowledge base.
Works with every AI agent you already use
…and any MCP-compatible client
Connect US WARN Act Compliance Calculator MCP to LlamaIndex
Create your Vinkius account to connect US WARN Act Compliance Calculator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Knowledge-Augmented Compliance
This MCP calculates the exact profit margins destroyed by federal notice violations. HR departments love to hide behind vague policies, but the law requires hard numbers. Your LlamaIndex application can now ground its answers in actual legal exposure. You don't just call an API; you index the results. The system runs `check_warn_compliance` to flag illegal termination windows and embeds that status directly into your vector store. Legal teams query past configurations and get answers backed by real data, not hallucinations.
Vector Search for this MCP
Let's look at the exposure. Vague legal advice is useless when you need to budget for severance. Your RAG application needs exact figures to compare historical workforce reductions. The application uses `calculate_employee_backpay_liability` to compute exact wages owed. It stores these financial outputs alongside your policy documents. When a user asks about past layoffs, the index retrieves the exact back pay figures calculated during that event.
Grounded Legal Decisions
Here's the thing about this MCP. You need a unified, queryable index of your legal risk before you finalize any layoff list. Stop relying on outdated spreadsheets. Combine live compliance data with your internal documents. If a query requires penalty estimates, the agent runs `calculate_civil_penalty_exposure` to estimate local fines. It then synthesizes those fines with your corporate guidelines to generate an actionable legal brief.
Set up US WARN Act Compliance Calculator MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all US WARN Act Compliance Calculator MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to US WARN Act Compliance Calculator tools.",
)
response = await agent.run("List recent US WARN Act Compliance Calculator data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by US WARN Act Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about US WARN Act Compliance Calculator MCP in LlamaIndex
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