WebHR MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Get Attendance Summary, Get Employee Details, List Attendance Logs, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WebHR 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 WebHR app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 WebHR. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in WebHR?"
)
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 WebHR MCP Server
Connect your WebHR account to any AI agent to automate your human resource management and personnel tracking. WebHR provides a comprehensive cloud-based HRMS for managing the entire employee lifecycle—from recruitment and onboarding to attendance monitoring and leave management.
LlamaIndex agents combine WebHR tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Employee Orchestration — List and retrieve detailed metadata for all staff records, including personal profiles and department hierarchies.
- Attendance Monitoring — Access real-time clock-in/out records and retrieve aggregated attendance summaries for your organization.
- Leave Management — Track leave requests, monitor balance details, and list different leave types available in your system.
- Recruitment Control — Monitor open job postings, list active candidates, and manage the recruitment pipeline programmatically.
- Structural Oversight — Access company locations and department definitions to maintain a clear overview of your organizational structure.
The WebHR MCP Server exposes 11 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 11 WebHR tools available for LlamaIndex
When LlamaIndex connects to WebHR through Vinkius, your AI agent gets direct access to every tool listed below — spanning employee-management, attendance-tracking, recruitment, 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.
Get aggregated attendance metrics
Get details for an employee
List clock-in/out records
List categories of leave
g. Sales, Engineering). List organizational departments
List organization employees
List applicants for positions
List open job positions
List internal job requisitions
List employee leave history
List company offices
Connect WebHR to LlamaIndex via MCP
Follow these steps to wire WebHR into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the WebHR MCP Server
LlamaIndex provides unique advantages when paired with WebHR through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine WebHR tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain WebHR tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query WebHR, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what WebHR tools were called, what data was returned, and how it influenced the final answer
WebHR + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the WebHR MCP Server delivers measurable value.
Hybrid search: combine WebHR real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query WebHR 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 WebHR for fresh data
Analytical workflows: chain WebHR queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for WebHR in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with WebHR immediately.
"Check the status of our open 'Senior Frontend Engineer' job posting and list all the active candidates currently in the pipeline."
"Retrieve all pending leave requests for the Engineering department and check the available vacation balance for 'Marcus Johnson'."
"Generate an attendance summary for the New York office to see how many employees clocked in late this week."
Troubleshooting WebHR MCP Server with LlamaIndex
Common issues when connecting WebHR to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWebHR + LlamaIndex FAQ
Common questions about integrating WebHR MCP Server with LlamaIndex.