MCP Server

Bring your workforce data into your favorite AI tools

Using G-P’s Model Context Protocol (MCP) Server, connect your favorite AI tools to access your real-time global workforce data, automate manual HR tasks, and optimize your existing agentic workflows.

MCP Server
Connect MCP compatible

Build what you need with the G-P Agentic Toolkit

Connect any MCP-compatible tools to your G-P workforce data for secure, workforce insights and build HR dashboards or custom agentic automations that fit your business needs.

Backed by SOC2 compliance and ISO/IEC 42001 certifications, G-P is built to manage the multifaceted risks associated with machine learning and automated systems.

Unlock real time

Unlock real-time global workforce insights from a single conversation

Ask Claude, ChatGPT, Cursor, Gemini, and any MCP-compatiable AI questions and get compliant G-P data backed responses, turning complex global HR databases into instant workforce insights. Your AI agents will only see the specific tools and employee data that the user is explicitly authorized to access.

Security Bridge

Enterprise-grade governance for your AI ecosystem

The G-P MCP Server acts as a secure bridge between your AI workflows and your international employee data with built-in compliance. Our Human-in-the-Loop (HITL) guardrails automatically pause high-impact actions, allowing you to review, approve, and maintain complete data sovereignty from your existing workspace. By deploying advanced AI capabilities with our security-first architecture, G-P ensures total data privacy you can trust.

Employee directory table displaying names, job titles, and IDs of five Singapore-based employees.

See G-P Agentic Tooling In Action

Discover how you can interact with the G-P MCP Server using simple prompts and natural language as if you’re chatting to your colleague.

"Show me a list of our employees in Singapore."

AI Agent Action via MCP: Queries G-P employee records securely & compliantly in real time. The Result: Say goodbye to VLookUp. Live data is returned and displayed in a formatted table.

"How much time-off does Sarah Jenkins have?"

AI Agent Action via MCP: Looks up employment records to find Sarah’s employee ID and cross-references time off data. The Result: Without having to understand or connect to low level APIs, a compliance checked answer is provided in real-time.

"What is their benefits enrollment status?"

AI Agent Action via MCP: Uses the context of the conversation to answer questions naturally. The Result: Sarah’s specific benefits data is immediately surfaced without a re-prompt.

Ready to unlock agentic workforce insights?