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How to Use the EnterpriseAlumni MCP in Google ADK

Link EnterpriseAlumni to Google ADK. Feed alumni engagement data straight into Gemini for long-context analysis.

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Google ADK

Connect EnterpriseAlumni MCP to Google ADK

Create your Vinkius account to connect EnterpriseAlumni 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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Analyze Alumni with Gemini

This toolset exposes your network to Google ADK via tools like `list_alumni_members` and `search_alumni_by_name_or_keyword`. Your Gemini agent can pull thousands of profiles and hold them all in its massive context window. You ask the agent to find talent trends. It grabs the data, cross-references it with your internal BigQuery datasets, and gives you a clear picture of where your former employees are working now.

EnterpriseAlumni MCP Server Metrics

The agent uses `get_network_engagement_summary` and `list_alumni_engagement_campaigns` to read campaign performance. It sees exactly which outreach efforts drive the most clicks and RSVPs. You do not have to write custom parsers. The MCP server formats the engagement metrics so your Vertex AI infrastructure can ingest them immediately.

Map Communities and Events

Your Google ADK agent maps out internal groups using `list_alumni_communities` and checks upcoming gatherings with `list_alumni_events`. It knows exactly what is happening across the entire network. Combine this with `list_alumni_job_board` to match open roles to specific interest groups. The agent handles the data retrieval while you focus on the actual community strategy.

Setup guide

Set up EnterpriseAlumni 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 EnterpriseAlumni 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="EnterpriseAlumni_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EnterpriseAlumni 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 EnterpriseAlumni. 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.

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Common questions about EnterpriseAlumni MCP in Google ADK

Initialize `McpToolset` with `StreamableHttpServerParameters` pointing to your endpoint. Pass that toolset to your `LlmAgent` constructor.
The current tools only read data. Your agent can list existing events using `list_alumni_events` but cannot schedule new ones.
Gemini's massive context window. You can pull a massive `quick_alumni_network_audit` and have the agent analyze the entire dataset in a single prompt.
Use the `tool_names` filter in Google ADK. You can expose just `list_alumni_job_board` if you only want the agent matching candidates to jobs.
Authentication happens at the edge. When your agent requests campaign stats or member names via `get_alumni_detailed_profile`, the zero-trust architecture ensures the payload goes directly to your Vertex AI environment without touching disk.

Start using the EnterpriseAlumni MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for EnterpriseAlumni. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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