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Landing MCP Server for Google ADKGive Google ADK instant access to 7 tools to Create Landing Webhook, Delete Landing Webhook, Get My Landing Profile, and more

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Landing 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 Landing app connector for Google ADK is a standout in the Productivity category — giving your AI agent 7 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="landing_agent",
    instruction=(
        "You help users interact with Landing "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)
Landing
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 Landing MCP Server

Connect your Landing account to any AI agent and manage landing pages through natural conversation.

Google ADK natively supports Landing as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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

  • Page Management — List, create, and manage landing pages
  • Lead Tracking — Browse captured leads with form data and conversion source
  • Template Library — Access pre-built templates for quick page creation
  • Analytics Monitoring — Track page views, conversions, and bounce rates

The Landing MCP Server exposes 7 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 7 Landing tools available for Google ADK

When Google ADK connects to Landing through Vinkius, your AI agent gets direct access to every tool listed below — spanning landing-page, conversion-tracking, ab-testing, 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.

create_landing_webhook

g., lead.created). Create a new webhook

delete_landing_webhook

Delete a webhook

get_my_landing_profile

Get authenticated user info

list_landing_leads

List captured leads

list_landing_pages

List landing pages

list_landing_projects

List all landing projects

list_landing_webhooks

List active webhooks

Connect Landing to Google ADK via MCP

Follow these steps to wire Landing 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 7 tools from Landing via MCP

Why Use Google ADK with the Landing MCP Server

Google ADK provides unique advantages when paired with Landing 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 Landing

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 Landing tools with BigQuery, Vertex AI, and Cloud Functions

Landing + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Landing 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 Landing

Example Prompts for Landing in Google ADK

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

01

"Show all landing pages with conversion rates and today's leads."

02

"Show leads captured from the SaaS Free Trial page this week."

03

"Browse templates and show page analytics for the Webinar page."

Troubleshooting Landing MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Landing + Google ADK FAQ

Common questions about integrating Landing 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.