How to Use the AssessTEAM MCP in Google ADK

Q: How do I configure AssessTEAM for Google ADK?

Install the toolset via the McpToolset class in your Python script. Point it to your Vinkius server URL and pass the object to your LLM agent's tool list.

Q: Can I filter tools when using AssessTEAM with Google ADK?

Yes. Use the toolnames filter during initialization to restrict the agent to specific functions like project listing or timesheet creation.

Bring AssessTEAM project and payroll data into your Google ADK agent logic.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AssessTEAM MCP to Google ADK

Create your Vinkius account to connect AssessTEAM 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.

GDPR Free for Subscribers

Setup AssessTEAM with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze projects with Google ADK

Your agent uses `list_projects` to scan your active workload. It feeds this data into the Gemini model to compare current project status against your internal benchmarks. Use `get_profitability_report` to identify which projects exceed their budget. The agent correlates these numbers with your existing Google Cloud data sources.

Review staff performance in Google ADK

The agent queries `list_performance_evaluations` to summarize recent feedback cycles. It extracts key themes from historical reviews for your team. Run `list_employees` to cross-reference these reviews with current staff rosters. You get a clear picture of team health without manual searching.

Track hours using Google ADK

Your agent invokes `create_timesheet_entry` to record billable time as you discuss project progress. It automates the data entry process during your daily standups. `list_timesheets` provides the agent with a history of logged hours. You can ask for a summary of time spent on specific organizational teams.

Setup guide

Set up AssessTEAM 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 AssessTEAM 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="AssessTEAM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AssessTEAM tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AssessTEAM. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AssessTEAM now

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 AssessTEAM MCP in Google ADK

Install the toolset via the `McpToolset` class in your Python script. Point it to your Vinkius server URL and pass the object to your LLM agent's tool list.

Gemini models handle large token contexts easily. The agent retrieves lists of evaluations and timesheets, then processes them in a single pass.

All communication occurs over encrypted channels. The server requires an endpoint token, ensuring only your agent can request employee or project information.

Yes. Use the tool_names filter during initialization to restrict the agent to specific functions like project listing or timesheet creation.

We enforce strict ephemeral processing. The server does not store your employee email addresses or phone numbers; it only forwards them to your agent for the duration of the request.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript