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How to Use the Workvivo MCP in Google ADK

Build enterprise Workvivo automation with Google ADK and Gemini.

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Google ADK

Connect Workvivo MCP to Google ADK

Create your Vinkius account to connect Workvivo to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Manage Posts on the Activity Feed

Use `create_social_post` to publish text updates directly into the Workvivo activity feed. You can also run `delete_social_post`, which permanently removes a post. This action is irreversible. Your agent handles real-time communication, making sure posts reflect current company messaging without manual intervention.

List and Inspect Company Directory Data

The tool `list_employees` gives your agent a list of every registered worker. For more detail on one person, the `get_employee_profile` tool pulls that specific data. Need to know what groups exist? Running `list_collaboration_spaces` provides a complete directory of all collaboration spaces.

Retrieve Details for Events and Content

The agent uses `get_event_details` to pull specific information about a calendar event. It can also use `list_company_events` to show upcoming dates. Want to see what's happening? You can run `list_workvivo_posts` to gather all recent social activity from the Workvivo platform.

Setup guide

Set up Workvivo MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Workvivo tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Workvivo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Workvivo tools via MCP.",
    tools=mcp_tools,
)

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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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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 Google ADK

The Google ADK integrates directly with MCP tools, allowing your agent to act on Workvivo data. It lets you build deep, enterprise workflows using Gemini models.
This server works with employee names, posts (content), event details, and space lists—all common organizational datasets. The data is structured for BigQuery access.
Yes. You call `list_collaboration_spaces`. This lets your agent know exactly which groups are active in Workvivo, helping you target communications accurately.
You use `delete_social_post`. Since this tool is permanent, your agent must confirm the action before executing it to prevent data loss.
Absolutely. Whether you need a post's history via `get_post_details` or an event’s scope via `get_space_details`, the agent can retrieve that data.

Start using the Workvivo MCP today

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