HiBob MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HiBob 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 HiBob. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in HiBob?"
)
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 HiBob MCP Server
Connect your HiBob HR platform to any AI agent and take full control of your people management and organizational data through natural conversation.
LlamaIndex agents combine HiBob 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 Search — Perform advanced searches for employees, retrieve full profiles, and access custom fields.
- Time Off Oversight — Monitor who is out of the office, check leave balances, and submit new time off requests.
- Task Management — List all open HR tasks and mark them as completed directly from the chat interface.
- Payroll & Compensation — Access historical payroll data and retrieve detailed compensation packages for employees.
- Operational Efficiency — Send welcome invitations to new hires and monitor organizational lists and configurations.
- Public Profiles — Quickly retrieve basic contact information for any active member of your organization.
The HiBob 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.
How to Connect HiBob to LlamaIndex via MCP
Follow these steps to integrate the HiBob 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 11 tools from HiBob
Why Use LlamaIndex with the HiBob MCP Server
LlamaIndex provides unique advantages when paired with HiBob through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HiBob tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HiBob tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HiBob, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HiBob tools were called, what data was returned, and how it influenced the final answer
HiBob + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HiBob MCP Server delivers measurable value.
Hybrid search: combine HiBob real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HiBob 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 HiBob for fresh data
Analytical workflows: chain HiBob queries with LlamaIndex's data connectors to build multi-source analytical reports
HiBob MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect HiBob to LlamaIndex via MCP:
complete_task
Mark a specific task as completed
get_employee_compensation
Get detailed salary and benefit information for an employee
get_leave_balance
Get the leave balance for a specific employee
get_payroll_history
Retrieve platform payroll history
get_whos_out
List employees on leave for a specific date range
invite_employee
Send a welcome invitation to a new employee
list_company_settings_lists
List custom dropdown and configuration lists used in the platform
list_open_tasks
List all pending tasks across the company
list_public_profiles
List basic contact information for all active employees
request_time_off
Pass the payload as a JSON string in "request_json" (requires policyType, startDate, endDate). Submit a new time off request for an employee
search_employees
Pass search criteria as a JSON string in "search_json". Returns active employees by default. Search for employees using filters and retrieve profiles
Example Prompts for HiBob in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HiBob immediately.
"Search for employees in the 'Engineering' department."
"Check who is out of the office this week."
"Show my open HR tasks and complete ID 'task_992'."
Troubleshooting HiBob MCP Server with LlamaIndex
Common issues when connecting HiBob to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHiBob + LlamaIndex FAQ
Common questions about integrating HiBob 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 HiBob 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 HiBob to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.