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MyHR MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Absence Request, Create Employee, Get Employee Details, and more

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MyHR 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 App Connector for LlamaIndex

The MyHR app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 MyHR. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in MyHR?"
    )
    print(response)

asyncio.run(main())
MyHR
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About MyHR MCP Server

Connect your MyHR account to any AI agent and manage human resources through natural conversation.

LlamaIndex agents combine MyHR 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.

What you can do

  • Employees — List, create, and view detailed employee profiles
  • Absences — Track leave requests and create new absence records
  • Timesheets — Browse employee timesheet entries
  • Configuration — List departments, offices, marital statuses, and gender options

The MyHR 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.

All 10 MyHR tools available for LlamaIndex

When LlamaIndex connects to MyHR through Vinkius, your AI agent gets direct access to every tool listed below — spanning employee-management, leave-tracking, timesheets, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_absence_request

Create a new absence request

create_employee

Create a new employee

get_employee_details

Get employee details

list_absences

List all employee absences

list_departments

List organization departments

list_employees

List all employees

list_gender_options

List gender options

list_marital_statuses

List marital status options

list_offices

List organization offices

list_timesheets

List all timesheets

Connect MyHR to LlamaIndex via MCP

Follow these steps to wire MyHR into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from MyHR

Why Use LlamaIndex with the MyHR MCP Server

LlamaIndex provides unique advantages when paired with MyHR through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine MyHR tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain MyHR tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query MyHR, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what MyHR tools were called, what data was returned, and how it influenced the final answer

MyHR + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the MyHR MCP Server delivers measurable value.

01

Hybrid search: combine MyHR real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query MyHR to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying MyHR for fresh data

04

Analytical workflows: chain MyHR queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for MyHR in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with MyHR immediately.

01

"List all employees and show their departments."

02

"Create an absence request for employee 42 next Monday."

03

"Show timesheets and current absence requests."

Troubleshooting MyHR MCP Server with LlamaIndex

Common issues when connecting MyHR to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

MyHR + LlamaIndex FAQ

Common questions about integrating MyHR MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query MyHR tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.