How to Use the Workvivo MCP in OpenAI Agents SDK
Run Workvivo actions safely and reliably with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Workvivo MCP to OpenAI Agents SDK
Create your Vinkius account to connect Workvivo to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage Posts on the Activity Feed
You can use `create_social_post` to publish text updates directly into the Workvivo activity feed. You'll also find `delete_social_post`, which permanently removes a post. Remember, this deletion is irreversible. This lets your agent manage real-time communication and ensure that posted content matches current company messaging.
Keep Track of People and Groups
The tool `list_employees` pulls a directory list of all registered people. You can also use `get_employee_profile` to pull specific details for any individual worker. Need to know what groups exist? Just run `list_collaboration_spaces`. This gives you the names and IDs necessary for subsequent operations.
Monitor Company Events and Spaces
Check out `list_company_events` to get a list of upcoming dates. If you need deeper info, use `get_event_details` on a specific event ID. To see what people are talking about, `list_workvivo_posts` retrieves all recent social activity across the platform.
Set up Workvivo MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Workvivo tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Workvivo tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Workvivo tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Workvivo Agent",
instructions="You have access to Workvivo tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Workvivo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Workvivo MCP in OpenAI Agents SDK
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