Officevibe MCP. Get employee sentiment and culture metrics instantly.

The Officevibe MCP Server lets your agent pull deep culture data straight into your chat window. You don't need to jump through hoops or open up a separate dashboard just to figure out what's going on with staff sentiment. It connects directly to Officevibe (Workleap), turning your AI client into a dedicated People Analyst that knows where all the answers are.

Tracking Overall Company Health and Sentiment

You can calculate overall organizational engagement scores for your entire company or narrow it down to specific departments. The agent pulls current and historical aggregated satisfaction metrics using get_engagement_scores. You'll see exactly how high, or low, the group score is right now. Similarly, you monitor your Employee Net Promoter Score (eNPS) trends over time by calling get_nps_scores, so you know if the overall sentiment has crept up or dipped since last quarter.

For a more detailed look at what makes employees happy—or unhappy—you can check the granular relationship metrics. The system pulls specific sub-scores, like how highly staff rate their Recognition efforts or what they score regarding their Relationship with Manager, all through get_engagement_metrics. You get the raw numbers for these key areas without lifting a finger.

Reviewing Raw Feedback and Conversations

Need to know why scores are dropping? The server fetches recent qualitative text from employee surveys using list_survey_feedback, letting you review specific suggestions or complaints submitted by staff. If one piece of feedback looks important—maybe it mentions a specific policy change or department issue—you can then get the full conversation history associated with that comment by calling get_feedback_replies.

This gives you all the context behind the text, so you're not guessing at what they meant.

Mapping Out Your Organization Structure

Understanding who reports to whom is critical. You can list every employee currently recorded in Officevibe by running list_employees, giving you a comprehensive roster of your workforce. If you need to scope down the analysis, you can pull predefined audience segments using list_vibe_segments or limit the data set to specific formal teams and departments with list_vibe_teams.

Furthermore, if you're dealing with custom fields—like a 'start date' or 'preferred office location' that isn't standard—you can retrieve those user-defined attributes by calling list_user_attributes.

To get deep into a specific person’s profile, the agent uses get_employee_details. Just provide an employee's unique ID, and you'll pull their full metadata and profile details. This means if you wanna check out Sarah Jenkins' specific job title or department code without leaving your chat, you can do it immediately.

What You Get When You Use It

You get instant access to data that normally requires three different tabs open in a browser: the overall group score from get_engagement_scores, the trend line for eNPS from get_nps_scores, and the raw text suggestions from list_survey_feedback. The system lets you combine these data points—for example, 'Show me the Recognition scores for Team Alpha alongside the three most recent comments about management'—all in one natural prompt.

You don't just get a list; you get actionable context that lets your agent act like a real analyst on your behalf.