How to Use the Lattice MCP in Google ADK

Q: How do I register the Lattice tools in my google-adk project?

You instantiate McpToolset with your Vinkius HTTP URL and pass it to the LlmAgent tool list. This exposes tools like listusers to Gemini instantly.

Q: Is it possible to restrict google-adk to only read Lattice tasks?

You can pass a toolnames filter to your toolset configuration to expose only listtasks. This ensures your agent cannot access reviews or user directories.

Feed real-time Lattice performance data directly into your Google ADK pipelines for long-context Gemini reasoning.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Lattice MCP to Google ADK

Create your Vinkius account to connect Lattice 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 Lattice with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Contextualize review data inside Google ADK

The `list_reviews` tool fetches active performance cycles so Google ADK agents can process them using Gemini's million-token context window. This allows your agent to analyze years of organizational trends in a single execution. You can combine this review data with historical performance datasets stored in BigQuery. The agent cross-references corporate milestones with actual project delivery dates.

Monitor team goals with the Lattice MCP Server

The `get_goal` tool extracts specific OKR progress details directly into your Vertex AI workflow via Google ADK. This gives your enterprise agents the exact metrics they need to draft status reports. By using the `McpToolset` class, your agent automatically maps these goal endpoints to native Python tools. You don't have to write custom API wrappers or parsing logic.

Analyze feedback loops across departments

The `list_feedback` tool retrieves peer praise and feedback records for deep sentiment analysis inside Google ADK. This lets your analytical pipelines track organizational health metrics over time. The agent filters these records using `get_feedback` to isolate specific department trends. It then outputs structured summaries directly to your Google Cloud storage buckets.

Setup guide

Set up Lattice 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 Lattice 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="Lattice_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lattice 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 Lattice. 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 Lattice 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 Lattice MCP in Google ADK

You instantiate `McpToolset` with your Vinkius HTTP URL and pass it to the `LlmAgent` tool list. This exposes tools like `list_users` to Gemini instantly.

Google ADK supports both stdio and HTTP transports for maximum flexibility. For production cloud deployments, the HTTP transport through Vinkius is the standard approach.

Gemini's massive context window easily handles large JSON payloads from `list_goals` or `list_feedback`. The framework passes the raw tool outputs directly into the model's prompt context.

You can pass a `tool_names` filter to your toolset configuration to expose only `list_tasks`. This ensures your agent cannot access reviews or user directories.

Vinkius hosts the connection in an ephemeral, zero-trust sandbox. Your employee lists, feedback logs, and task lists are never stored or used for model training.

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