Workvivo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Workvivo through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Workvivo Assistant",
instructions=(
"You help users interact with Workvivo. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Workvivo"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Workvivo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Workvivo, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Workvivo MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Workvivo
Why Use OpenAI Agents SDK with the Workvivo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Workvivo through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Workvivo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Workvivo MCP Server delivers measurable value.
Automated workflows: build agents that query Workvivo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Workvivo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Workvivo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Workvivo to resolve tickets, look up records, and update statuses without human intervention
Workvivo MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Workvivo to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Workvivo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Workvivo + OpenAI Agents SDK FAQ
Common questions about integrating Workvivo MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Workvivo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Workvivo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
