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Lamha MCP Server for Google ADKGive Google ADK instant access to 8 tools to Cancel Order, Check City Coverage, Create Order, and more

Built by Vinkius GDPR 8 Tools SDK

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

Ask AI about this App Connector for Google ADK

The Lamha app connector for Google ADK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="lamha_agent",
    instruction=(
        "You help users interact with Lamha "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Lamha
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 Lamha MCP Server

Connect your Lamha account to any AI agent and manage HR operations through natural conversation.

Google ADK natively supports Lamha as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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 Management — List employees, inspect profiles, and track status
  • Attendance Tracking — Monitor check-in/out times and attendance records
  • Department Browsing — Navigate organizational structure and departments
  • Leave Management — Track leave requests, balances, and approvals
  • Payroll Access — View payroll data and compensation details

The Lamha MCP Server exposes 8 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.

All 8 Lamha tools available for Google ADK

When Google ADK connects to Lamha through Vinkius, your AI agent gets direct access to every tool listed below — spanning attendance-tracking, leave-management, payroll-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_order

Cancel an existing order

check_city_coverage

Check delivery coverage for a city

create_order

Create a new logistics order

get_order

Get details for a specific order

list_carriers

List delivery carriers

list_inventory

List product inventory

list_orders

List Lamha orders

list_warehouses

List warehouses

Connect Lamha to Google ADK via MCP

Follow these steps to wire Lamha into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 8 tools from Lamha via MCP

Why Use Google ADK with the Lamha MCP Server

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

01

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

02

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

03

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

04

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

Lamha + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Lamha in Google ADK

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

01

"Show all departments and today's attendance."

02

"Show pending leave requests and employee leave balances."

03

"Show payroll summary and employee details for the Engineering team."

Troubleshooting Lamha MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Lamha + Google ADK FAQ

Common questions about integrating Lamha MCP Server with Google ADK.

01

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.
02

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.
03

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.