intelliHR 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 intelliHR as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 intelliHR. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in intelliHR?"
)
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 intelliHR MCP Server
Connect your AI agents to intelliHR, the strategic people management platform. This MCP server allows you to list and retrieve employee profiles, track job assignments, manage positions and business entities, and view organization data directly through the intelliHR API. Ideal for automating HR operations and employee data analysis.
LlamaIndex agents combine intelliHR 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.
The intelliHR 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 intelliHR to LlamaIndex via MCP
Follow these steps to integrate the intelliHR 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 intelliHR
Why Use LlamaIndex with the intelliHR MCP Server
LlamaIndex provides unique advantages when paired with intelliHR through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine intelliHR tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain intelliHR tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query intelliHR, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what intelliHR tools were called, what data was returned, and how it influenced the final answer
intelliHR + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the intelliHR MCP Server delivers measurable value.
Hybrid search: combine intelliHR real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query intelliHR 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 intelliHR for fresh data
Analytical workflows: chain intelliHR queries with LlamaIndex's data connectors to build multi-source analytical reports
intelliHR MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect intelliHR to LlamaIndex via MCP:
get_person
Retrieves details for a specific person
list_business_entities
Lists all legal business entities
list_jobs
Lists all jobs/positions currently assigned
list_locations
Lists all registered office locations
list_people
Lists all people/employees in intelliHR
list_positions
Lists all defined position titles
list_remuneration
Lists employee remuneration and pay details
list_skills
Lists all skills defined in the organization
list_training
Lists all employee training and development records
list_users
Lists all users with platform access
Example Prompts for intelliHR in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with intelliHR immediately.
"List all employees in the intelliHR directory."
"Show me details for employee ID '123'."
"List all registered office locations."
Troubleshooting intelliHR MCP Server with LlamaIndex
Common issues when connecting intelliHR to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpintelliHR + LlamaIndex FAQ
Common questions about integrating intelliHR 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 intelliHR 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 intelliHR to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.