How to Use the 15Five MCP in Google ADK

Q: Can I restrict 15Five tools in Google ADK?

Yes, use the toolnames filter when setting up your McpToolset. This prevents your agent from accessing sensitive tools like sendhighfive if you don't need them.

Link 15Five to Google ADK to analyze performance metrics across your Gemini-powered enterprise infrastructure.

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Connect 15Five MCP to Google ADK

Create your Vinkius account to connect 15Five 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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Setup 15Five with Google ADK

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Analyze objectives with Google ADK

Use `list_objectives` to feed company goals into Gemini's long-context window. This allows your agent to relate daily tasks to high-level strategy without manual data entry. Your agent can now cross-reference these goals against project status updates. It keeps your team aligned by identifying gaps between current work and quarterly targets.

Sync team members using Google ADK

The `list_departments` tool provides a clear view of your organization's structure. Your agent uses this to map user IDs to specific teams, ensuring accurate routing of feedback. It handles the heavy lifting of parsing organizational hierarchies. Your agent spends less time guessing roles and more time acting on internal performance data.

Public recognition through Google ADK

Use `list_high_fives` to track who is getting recognized across the company. You can then use this data to generate summaries of team contributions for your stakeholders. Feeding this into `send_high_five` lets your agent participate in company culture. It automates the recognition process while maintaining a record of all sent messages.

Setup guide

Set up 15Five 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

Install Google ADK

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

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

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 15Five 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="15Five_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 15Five tools via MCP.",
    tools=mcp_tools,
)

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Common questions about 15Five MCP in Google ADK

Install the Google ADK, then define your toolset using McpToolset with your Vinkius server URL. Pass this object to your LlmAgent to start executing commands.

Yes, use the tool_names filter when setting up your McpToolset. This prevents your agent from accessing sensitive tools like `send_high_five` if you don't need them.

Yes, the tools return structured data that fits perfectly into Gemini's massive context window. You can feed entire histories of objectives and check-ins for better reasoning.

Your credentials live in the Vinkius-managed endpoint, not your local environment. The ADK only sends authorized requests through the secure transport layer.

The server only touches unique employee identifiers and performance strings. Access is locked behind your session token, keeping this private data isolated from other processes.

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