Landbot MCP Server for Google ADKGive Google ADK instant access to 12 tools to Get Account Info, Get Customer Details, Handoff To Agent, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Landbot 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 Landbot app connector for Google ADK is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="landbot_alternative_agent",
instruction=(
"You help users interact with Landbot "
"using 12 available tools."
),
tools=[mcp_tools],
)
* 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 Landbot MCP Server
Connect your Landbot account to any AI agent and manage chatbots through natural conversation.
Google ADK natively supports Landbot as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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
- Bot Management — List bots, inspect configurations, and track performance
- Conversation Tracking — Browse conversations, read messages, and send replies
- Customer Database — List customers with engagement data and conversation history
- Flow Monitoring — Track chatbot flows and their conversion metrics
- Channel Management — Monitor WhatsApp, Web, and API channels
- Analytics — Access conversation metrics, response rates, and bot performance
The Landbot MCP Server exposes 12 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 12 Landbot tools available for Google ADK
When Google ADK connects to Landbot through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot, conversational-marketing, lead-capture, 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.
Check API status
Get user profile
Assign to human
List available bots
List chatbot users
Get event configs
List support agents
Send chat image
Send chat message
Send WA template
Start bot flow
Set user property
Connect Landbot to Google ADK via MCP
Follow these steps to wire Landbot into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Landbot MCP Server
Google ADK provides unique advantages when paired with Landbot 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 Landbot
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 Landbot tools with BigQuery, Vertex AI, and Cloud Functions
Landbot + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Landbot MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Landbot and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Landbot tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Landbot regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Landbot
Example Prompts for Landbot in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Landbot immediately.
"Show all bots with conversation counts and the latest customer conversations."
"Show the conversation flow and analytics for the Lead Qualifier bot."
"List all customers and send a reply to Ana's conversation."
Troubleshooting Landbot MCP Server with Google ADK
Common issues when connecting Landbot to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkLandbot + Google ADK FAQ
Common questions about integrating Landbot MCP Server with Google ADK.