How do I authenticate?

You need a Lattice API Key configured via Admin settings, passed into the plugin's configuration.

Can I update OKRs from this server?

Currently the server is heavily optimized for reading OKRs, directories, and feedback.

Is employee personal data secure?

Yes, queries route directly from your Vurb client strictly and securely into the Lattice native endpoints. Nothing is stored intermediately.

Lattice MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: Lattice
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Lattice as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="lattice_agent",
    instruction=(
        "You help users interact with Lattice "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Lattice MCP Server

Connect your AI agent directly to Lattice HR. With this server, your LLM can fetch detailed employee profiles, active OKRs, tasks, and search continuous feedback loops directly tied to the Lattice platform.

Google ADK natively supports Lattice as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Employee Directory: Fetch user metadata directly from your HRIS via Lattice.
Goal Tracking: Query active company or individual OKRs and assess progress.
Feedback & Praise: Monitor continuous feedback loops and recognition events.
Review Cycles: Check past and current performance review structural data.

The Lattice MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lattice to Google ADK via MCP

Follow these steps to integrate the Lattice MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from Lattice via MCP

Why Use Google ADK with the Lattice MCP Server

Google ADK provides unique advantages when paired with Lattice through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Lattice

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Lattice tools with BigQuery, Vertex AI, and Cloud Functions

Lattice + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Lattice MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Lattice and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Lattice tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Lattice regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Lattice

Lattice MCP Tools for Google ADK (9)

These 9 tools become available when you connect Lattice to Google ADK via MCP:

get_feedback

Get details about a specific feedback entry

get_goal

Get targeted details for a specific goal

get_review

Get details regarding a specific review cycle

get_user

Get details for a specific Lattice employee

list_feedback

Retrieve a list of feedback and praise instances

list_goals

Retrieve a list of all OKRs & Goals

list_reviews

Retrieve a list of performance review cycles

list_tasks

Retrieve pending tasks

list_users

Retrieve a list of employees/users from Lattice

Example Prompts for Lattice in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Lattice immediately.

"List all the current engineering OKRs mapped within Lattice."

"Retrieve the full team employee directory for the Marketing division."

"Who received recent public praise and continuous feedback this week?"

Troubleshooting Lattice MCP Server with Google ADK

Common issues when connecting Lattice to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Lattice + Google ADK FAQ

Common questions about integrating Lattice MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.