How to Use the BrightHR MCP in LlamaIndex

Index your BrightHR records into LlamaIndex to build RAG apps that ground your answers in live company data.

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Connect BrightHR MCP to LlamaIndex

Create your Vinkius account to connect BrightHR to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup BrightHR with LlamaIndex

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Index BrightHR data for LlamaIndex

Run `list_employees` and feed the results into your vector store. Your agent now searches current staff lists to answer internal queries. This turns static API data into searchable context for your RAG pipeline.

Ground answers with MCP Server data

Use `get_organization_info` to provide context for your document queries. LlamaIndex combines this live API data with your existing knowledge base. Your answers reflect real-time company structure rather than stale documentation.

Query training records via LlamaIndex

Call `list_training_records` to populate your index with employee development history. Your agent references this data when discussing team growth. It removes the need for manual lookups by keeping your index updated with every API call.

Setup guide

Set up BrightHR MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 BrightHR MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 BrightHR tools.",
)
response = await agent.run("List recent BrightHR data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BrightHR. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BrightHR MCP in LlamaIndex

You index the tool outputs as vectors. Once indexed, the agent performs semantic search across your employee and company data.

Absolutely. You convert the tool list to a spec and inject it into your FunctionAgent for full data access.

The index resides in your vector store. Your raw employee PII remains protected within the ephemeral Vinkius sandbox.

Your index retains the last known state. The server reports the health status via `check_api_health` so your agent knows when to stop.

We enforce strict per-session isolation. Your employee salary and absence records are encrypted in transit and never cached by the host.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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