How do I get an Officevibe API Key?

Log in to the Workleap Developer Portal (https://developer.workleap.com/) using your Officevibe credentials to create an application and generate your API key.

Is employee feedback anonymous through the API?

Yes. Officevibe enforces the same anonymity rules through the API as it does in the dashboard. You will see the feedback text but not the identity of the employee if it is anonymous.

What metrics are included in engagement scores?

Scores include the 10 key engagement metrics: Recognition, Feedback, Relationship with Peers, Relationship with Manager, Satisfaction, Alignment, Happiness, Wellness, Personal Growth, and Ambassadorship.

Officevibe MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Officevibe
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Officevibe through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Officevibe "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Officevibe?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Officevibe MCP Server

Connect your Officevibe (by Workleap) account to your AI agent and gain deep insights into your workplace culture and employee engagement through natural conversation.

Pydantic AI validates every Officevibe tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Engagement Scores — Retrieve aggregated engagement and satisfaction scores for your entire organization or specific teams.
Pulse Metrics — Access granular scores for key sub-metrics like Recognition, Relationship with Manager, and Wellness.
Feedback Monitoring — List qualitative survey feedback and comments, and retrieve full follow-up conversations.
NPS Tracking — Monitor your current Employee Net Promoter Score (eNPS) and view historical trends.
User & Team Oversight — List all employees and organization segments to understand your culture's structure.
Deep Inspection — Fetch complete metadata and profile information for specific employees using their unique IDs.

The Officevibe MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Officevibe to Pydantic AI via MCP

Follow these steps to integrate the Officevibe MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Officevibe with type-safe schemas

Why Use Pydantic AI with the Officevibe MCP Server

Pydantic AI provides unique advantages when paired with Officevibe through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Officevibe integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Officevibe connection logic from agent behavior for testable, maintainable code

Officevibe + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Officevibe MCP Server delivers measurable value.

Type-safe data pipelines: query Officevibe with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Officevibe tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Officevibe and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Officevibe responses and write comprehensive agent tests

Officevibe MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Officevibe to Pydantic AI via MCP:

get_employee_details

Get specific employee info

get_engagement_metrics

g., Recognition, Relationship with Manager). Get granular engagement metrics

get_engagement_scores

Get overall engagement scores

get_feedback_replies

Get feedback conversation

get_nps_scores

Get employee NPS scores

list_employees

List all employees

list_survey_feedback

List survey feedback

list_user_attributes

List custom user attributes

list_vibe_segments

List audience segments

list_vibe_teams

List organization teams

Example Prompts for Officevibe in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Officevibe immediately.

"What is our current organization engagement score?"

"List the latest qualitative feedback from employee surveys."

"Show me the Employee NPS (eNPS) trend for this quarter."

Troubleshooting Officevibe MCP Server with Pydantic AI

Common issues when connecting Officevibe to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Officevibe + Pydantic AI FAQ

Common questions about integrating Officevibe MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Officevibe MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.