Workable launches the MCP Server, a new platform that lets AI assistants read and write to live Workable data—covering jobs, candidates, pipelines, offers, employees, time tracking, and calendar events—to perform tasks directly within core HR systems.

The Model Context Protocol (MCP) enables AI agents like Claude and ChatGPT to query and act on Workable data through natural language without exporting data or using spreadsheets.

Built on the MCP, the MCP Server provides an end-to-end ability for AI assistants to read and write live Workable data across the full HR lifecycle, including jobs, candidates, pipeline stages, requisitions, offers, employees, time tracking, time-off, and calendar events.

Setup is quick and user-friendly: add a custom connector in the AI tool and authenticate via OAuth2, with no developer involvement or API key management required.

Media contact is Brendan Jeannetti, with a photo attachment available through Globe Newswire.

Industry outlook suggests AI agents could transform HR workflows by 2027, driving greater adoption and moving toward AI-assisted decision-making and automated processes in HR.

A representative use case shows an AI assistant identifying engineering candidates in the phone screen stage by querying live HR analytics, illustrating practical automation.

The release highlights Forbes Advisor recognition and emphasizes Workable’s longstanding AI-driven capabilities, including extensive hiring activity and AI token processing.

Security ensures AI sessions are scoped to the authenticated user’s permissions, so the AI can only access data the user is authorized to see, with strong emphasis on privacy and compliance including GDPR/CPRA considerations and potential human oversight.

MCP-enabled integration is offered at no extra cost across all Workable plans and requires only simple authentication, avoiding developer intervention or complex API keys.

Workable describes itself as a global HR and talent management platform serving over 6,200 companies in 100+ countries, with capabilities spanning ATS, HRIS, time tracking, and autonomous AI Recruiting Agent.

The MCP Server enables “agentic AI” in HR, allowing AI to autonomously plan and execute multi-step processes such as identifying candidates in interview stages and drafting follow-ups, boosting efficiency while potentially reducing time-to-hire and admin costs.