Compatible with every major AI agent and IDE
What is the UKG Pro MCP Server?
The UKG Pro MCP Server integrates the Model Context Protocol with the UKG Pro human capital management suite, enabling AI agents to manage HR data, employee profiles, payroll details, and organizational structures seamlessly.
Built-in capabilities (4)
Get a specific employee by ID in UKG Pro
Get a specific job configuration by job code
List organizational components and structures
Get payroll records for the current pay period
Why LlamaIndex?
LlamaIndex agents combine UKG Pro tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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.
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Data-first architecture: LlamaIndex agents combine UKG Pro tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain UKG Pro tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query UKG Pro, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what UKG Pro tools were called, what data was returned, and how it influenced the final answer
UKG Pro in LlamaIndex
UKG Pro and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect UKG Pro to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for UKG Pro in LlamaIndex
The UKG Pro 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
UKG Pro for LlamaIndex
Every tool call from LlamaIndex to the UKG Pro MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What data can be accessed via the UKG Pro MCP Server?
You can access employee profiles, compensation details, job history, payroll information, user details, and organizational structures.
What authentication methods are supported?
The server supports API Keys/Service Account Basic Authentication and OAuth2 depending on your UKG Pro environment endpoints.
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.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query UKG Pro tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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