Model Context Protocol

Give AI agents the right HR tools — not full access.

Heartpace MCP is the secure connection layer between approved AI assistants and your Heartpace HR data, workflows and policies. Agents can read, reason, draft and request approval without bypassing role-based access.

Secure agent bridge

Model Context Protocol for HR

governed

Approved AI agent

HR Admin, Manager Coach or Employee Service Agent asks for a task.

Heartpace MCP

Scopes the request to allowed tools, resources and permissions.

Heartpace data + workflows

HRM, documents, pay, surveys, OKR, talks, integrations and audit logs.

RBAC
Human approval
Audit trail
EU data boundary

Governance

Why MCP matters for HR

HR data is too sensitive for generic AI integrations. MCP gives each agent a controlled toolset, scoped permissions, audit logs and human approval gates.

Scoped tools

Expose only the actions an agent needs: read policies, draft salary review notes, summarize survey results, prepare onboarding tasks.

Permission-aware context

The agent sees only what the current user or approval flow allows — employee records, salary data and documents stay governed.

Every action logged

Tool calls, inputs, outputs and approvals are written to the audit trail for GDPR, ISO 27001, DORA and internal review.

MCP is how approved AI assistants use specific Heartpace actions without getting full system access. Each tool is scoped, logged and reversible.

Tool surface

Example Heartpace MCP tools

Each tool maps to a real Heartpace product area: HRM, documents, pay management, performance, surveys, API, webhooks and audit.

hrm.employee.search

Find employees, departments, managers, employment type and lifecycle status using permission-aware filters.

documents.policy.retrieve

Retrieve approved policy documents, handbooks, contracts and addenda with retention and sharing rules respected.

pay.equal_gap.scan

Run pay gap checks across gender, role, department, job architecture and market salary data.

performance.talks.prepare

Prepare manager Talks with goals, OKRs, feedback themes, survey signals and previous review notes.

survey.results.summarize

Summarize anonymous eNPS, Pulse and employee survey data into aggregated themes, risks and recommended next actions.

audit.approval.request

Ask HR, manager or data owner to approve a draft, workflow step or data-sensitive action before it is executed.

Agent cases

What agents can solve with MCP

HR Admin Agent

Pay transparency readiness

Pull salary mapping, job architecture, salary bands and market data; flag unexplained gaps; draft the EU Pay Transparency report for HR approval.

Manager Coach Agent

Better performance conversations

Gather OKRs, previous Talks, survey signals and salary review context; create a structured conversation pack for every manager.

Employee Service Agent

Self-service without tickets

Answer policy, vacation, document, onboarding and salary-cycle questions in the employee's language, with links back to approved Heartpace sources.

Built for security and procurement reviews

Every MCP action respects role-based access, produces an audit trail and runs within the EU. See our full security story.

View security details

Want Heartpace AI to work with your tools?

We can map your HRM, payroll, ATS, LMS, SSO, document and pay-management flows into governed agent tools.