MCP·Model Context Protocol
Connect AI clients to real hiring workflows with the JobInterview.live MCP server.
Our MCP server is fully implemented and gives teams a secure, governed way to connect external AI clients to psychometric assessments, ATS operations, organization context, AI Board Room workflows, jobs, and company data.
Built to help teams automate without losing control
JobInterview.live now offers a finished MCP product surface for organizations that want secure agent access to high-value hiring workflows.
A product surface built for real enterprise workflows
This is not just another AI endpoint. It is a conversion-ready layer that helps organizations bring AI clients into hiring operations without sacrificing clarity, accountability, or control.
Connect AI to work that already matters
Move beyond generic chat use cases and connect AI clients to psychometric assessments, ATS workflows, Board Room operations, and structured hiring data.
Reduce manual coordination across teams
Give recruiters, operators, and decision-makers faster access to the right context and actions across the workflows they already run every day.
Keep automation accountable
Use organization-aware access, approvals for sensitive actions, and auditability by design so automation stays useful and safe.
What teams can connect through MCP today
The JobInterview.live MCP server is designed around operational value first, so both HR leaders and technical teams can connect to the workflows that actually drive hiring decisions.
Psychometric assessments
Connect AI clients to structured assessment workflows instead of treating hiring intelligence as static reporting.
ATS operations and integrations
Give teams a secure way to inspect connection health, workflow state, and downstream hiring records across connected systems.
AI Board Room
Bring governed multi-agent decision support into the same connected workflow layer as assessments and ATS operations.
Jobs and company data
Make search and context retrieval part of the same enterprise workflow layer instead of a separate manual step.
Built for HR teams, recruiting operations, and technical buyers
The page should make sense to non-technical stakeholders and still give technical teams the confidence that the platform is ready for serious integration work.
HR and hiring leaders
Use MCP to make AI more operationally useful across assessment, hiring, and decision workflows.
Recruiting and operations teams
Use one governed interface to work across assessments, ATS workflows, and operational follow-through.
Technical and AI teams
Connect external AI clients through a finished product surface instead of stitching together custom one-off integrations.
Why enterprise teams can adopt it with confidence
The value of MCP is not just access. It is governed access. JobInterview.live is designed so teams can benefit from automation while keeping high-trust controls in place.
Enough detail for technical buyers, simple enough for everyone else
The implementation is intentionally enterprise-ready without forcing non-technical visitors to think in protocol diagrams.
Remote clients connect through a web-native MCP transport designed for real deployment scenarios.
Connections are tied to real users, real organizations, and scopes that match the intended level of access.
Sensitive workflows can require an explicit approval step so automation does not outrun governance.
Invocations can be audited for visibility, trust, and operational accountability.
A lightweight setup guide for MCP-compatible clients
Most visitors can skip this. If you are configuring Claude, ChatGPT, Google Gemini CLI, Antigravity, or another MCP-compatible client, open the guide below for the connection URL, OAuth discovery endpoints, and a safe first run.
Bring MCP into your hiring workflows with the right controls from day one
If you want to connect AI clients to assessments, ATS operations, AI Board Room workflows, or governed hiring automation, we should talk.