Can I check which users belong to a specific collaboration space?

Yes. The `get_space_details` tool allows your AI agent to retrieve the membership count and configuration for any specific space ID, helping you monitor team alignment directly through chat.

How do I see the contact details for a colleague using chat?

You can use the `get_employee_profile` tool. Simply provide the unique employee ID, and your agent will return their full profile details, including email, job title, and department information.

Can I post an announcement to the global activity feed via chat?

Absolutely. Use the `create_social_post` tool and provide your update text. If you don't specify a space ID, the post will be shared to the main company activity feed, making it visible to all users.

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

Name: Workvivo
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 Workvivo through the 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 Workvivo "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Workvivo MCP Server

Connect your Workvivo account to any AI agent and manage your employee experience infrastructure through natural conversation.

Pydantic AI validates every Workvivo tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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

Social Feed — Browse the company activity feed, retrieve full details for specific posts (likes, comments), and share new updates instantly
Employee Directory — List all registered employees and retrieve comprehensive profile details including contact info and job titles
Collaboration Spaces — Browse interest groups and departmental spaces, retrieve membership counts, and post updates to specific spaces
Company Events — Monitor the company calendar, retrieve details for upcoming events including location and start times
Content Insights — Quickly find unique post, employee, space, and event IDs required for automated internal communication workflows
Team Engagement — Analyze activity levels and browse social interactions across the platform directly from your agent
Data Integrity — Safely delete unfinalized or obsolete social posts through simple chat commands

The Workvivo 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 Workvivo to Pydantic AI via MCP

Follow these steps to integrate the Workvivo 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 Workvivo with type-safe schemas

Why Use Pydantic AI with the Workvivo MCP Server

Pydantic AI provides unique advantages when paired with Workvivo 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 Workvivo integration code

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

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

Workvivo + Pydantic AI Use Cases

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

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

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

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

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

Workvivo MCP Tools for Pydantic AI (10)

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

create_social_post

Provide the text content and an optional space ID. Creates a new post on the Workvivo activity feed

delete_social_post

This action is irreversible. Permanently deletes a post from Workvivo

get_employee_profile

Retrieves profile details for a specific employee

get_event_details

Retrieves details for a specific calendar event

get_post_details

Retrieves details for a specific social post

get_space_details

Retrieves details for a specific collaboration space

list_collaboration_spaces

Lists collaboration spaces (groups) in Workvivo

list_company_events

Lists upcoming events scheduled in Workvivo

list_employees

Lists employees registered in the Workvivo directory

list_workvivo_posts

Lists social posts and activity on the Workvivo platform

Example Prompts for Workvivo in Pydantic AI

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

"List the last 5 posts on the company feed."

"Find the profile for employee ID 'emp-123'."

"What are the details for the 'Town Hall' event today?"

Troubleshooting Workvivo MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Workvivo + Pydantic AI FAQ

Common questions about integrating Workvivo 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 Workvivo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.