KPA Flex MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add KPA Flex 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 KPA Flex. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in KPA Flex?"
)
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 KPA Flex MCP Server
Connect your AI agent to KPA Flex to maintain a safe and compliant workplace with real-time data access.
LlamaIndex agents combine KPA Flex tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
Key Features
- Inspection Auditing — List and retrieve detailed safety inspection reports to identify workplace hazards
- Employee Compliance — Access individual employee EHS profiles including training and certification status
- Form Schema Access — View field definitions for custom audits and reporting forms
- Asset Inventory — Audit equipment and company assets managed within the KPA Flex ecosystem
- Safety Intelligence — Retrieve high-level site statistics and perform deep searches across all safety reports
How to setup
1. Subscribe to this server
2. Log in to KPA Flex and generate an API Key from your profile or admin settings
3. Enter your key in the configuration panel
4. Start managing your EHS data via natural language
The KPA Flex MCP Server exposes 10 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 KPA Flex to LlamaIndex via MCP
Follow these steps to integrate the KPA Flex 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 10 tools from KPA Flex
Why Use LlamaIndex with the KPA Flex MCP Server
LlamaIndex provides unique advantages when paired with KPA Flex through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine KPA Flex tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain KPA Flex tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query KPA Flex, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what KPA Flex tools were called, what data was returned, and how it influenced the final answer
KPA Flex + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the KPA Flex MCP Server delivers measurable value.
Hybrid search: combine KPA Flex real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query KPA Flex 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 KPA Flex for fresh data
Analytical workflows: chain KPA Flex queries with LlamaIndex's data connectors to build multi-source analytical reports
KPA Flex MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect KPA Flex to LlamaIndex via MCP:
get_employee_ehs_profile
Get EHS profile for an employee
get_flex_site_stats
Get high-level safety statistics
get_form_schema
Get schema for a specific form
get_inspection_details
Get details for an inspection
list_company_assets
List equipment and assets
list_custom_forms
List available custom forms
list_ehs_inspections
List all safety inspections
list_flex_employees
List employees in the system
list_safety_trainings
List training records
search_ehs_reports
Search through all EHS reports
Example Prompts for KPA Flex in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with KPA Flex immediately.
"List all safety inspections from the last 7 days"
"Check compliance profile for employee 'EMP-555'"
"Search reports for keywords 'forklift incident'"
Troubleshooting KPA Flex MCP Server with LlamaIndex
Common issues when connecting KPA Flex to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKPA Flex + LlamaIndex FAQ
Common questions about integrating KPA Flex 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 KPA Flex with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 KPA Flex to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.