Workday MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Workday as an MCP tool provider through the 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 Workday. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Workday?"
)
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 Workday MCP Server
Connect your Workday tenant to any AI agent and manage your human capital operations through natural conversation.
LlamaIndex agents combine Workday tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the 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
- Worker Profiles — Query employee data, job profiles, supervisory organizations, and worker history across your entire workforce
- Payroll Insights — Retrieve payroll run summaries, compensation breakdowns, and benefit elections for any worker
- Organizational Structure — Navigate supervisory hierarchies, cost centers, and company structures through simple queries
- Time Off & Absence — Check PTO balances, pending time-off requests, and absence history for team members
- Recruiting Pipeline — Monitor open positions, candidate pipeline status, and job requisition approvals
- Compensation Planning — View compensation plans, merit increases, and bonus allocations across business units
- Custom Reports — Execute Workday Report-as-a-Service (RaaS) queries for tailored data extractions
The Workday MCP Server exposes 9 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 Workday to LlamaIndex via MCP
Follow these steps to integrate the Workday 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 9 tools from Workday
Why Use LlamaIndex with the Workday MCP Server
LlamaIndex provides unique advantages when paired with Workday through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Workday tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Workday tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Workday, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Workday tools were called, what data was returned, and how it influenced the final answer
Workday + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Workday MCP Server delivers measurable value.
Hybrid search: combine Workday real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Workday 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 Workday for fresh data
Analytical workflows: chain Workday queries with LlamaIndex's data connectors to build multi-source analytical reports
Workday MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Workday to LlamaIndex via MCP:
execute_raas_report
Results are returned in JSON. The URL can include prompt parameters. Execute a Workday Report-as-a-Service (RaaS) report
get_payroll_results
Get payroll results for a worker
get_time_off_balances
Get time off balances for a worker
get_time_off_requests
Get pending time off requests for a worker
get_worker
Get detailed profile for a specific worker
list_job_requisitions
List open job requisitions
list_supervisory_orgs
Shows org names, managers, and headcounts. List supervisory organizations
list_workers
Use the search parameter to filter by name, employee ID, or other attributes. List or search Workday workers
query_resource
Examples: locations, companies, costCenters, businessUnits. Query any Workday REST API resource
Example Prompts for Workday in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Workday immediately.
"How many active employees do we have in the Engineering department?"
"Show me the PTO balance for John Smith."
"Run the 'Monthly Headcount Report' for Q1 2026."
Troubleshooting Workday MCP Server with LlamaIndex
Common issues when connecting Workday to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorkday + LlamaIndex FAQ
Common questions about integrating Workday 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 Workday 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 Workday to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.