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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up EnterpriseAlumni MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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
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