Bring Chatbots
to Google ADK
Create your Vinkius account to connect Landbot to Google ADK and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Landbot MCP Server?
Engage your conversational pipelines through Landbot instantly using your AI assistant. Route leads, send custom programmatic messages to open channels, or check active interactions without checking external software tools.
What you can do
- Bot Management: Oversee and pull active bot matrices.
- Customer Operations: Send automated text messages securely to connected accounts.
- Lead Routing: Reassign critical pipeline threads directly to live agents programmatically.
How it works
- Authorize the plugin connection
- Provide your Landbot API Token in Vinkius credentials
- Engage conversational commands locally or through llm interfaces
Who is this for?
- DevOps Support — manage conversational states from your terminal
- Sales Marketers — view chat history of high value funnels
- Product Teams — examine customer journeys natively
Built-in capabilities (8)
Route conversation from bot to live agent status
Get a single bot details by ID
Retrieve specific metadata of one customer
Fetch the chat sequence messages for a given customer context
List all accessible bots in Landbot
List recent customers interacting with bots
Search for a particular customer by email
Send a message programmatically to a customer conversation
Why Google ADK?
Google ADK natively supports Landbot 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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Landbot
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Landbot tools with BigQuery, Vertex AI, and Cloud Functions
Landbot in Google ADK
Why run Landbot with Vinkius?
The Landbot connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Landbot using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Landbot and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Landbot to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Landbot for Google ADK
Every request between Google ADK and Landbot is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I authenticate?
Grab the main API Access Integration token located centrally in settings inside Landbot App context.
Can I route chats to human agents?
Yes, standard endpoints enable you to extract active sessions and invoke assignment APIs gracefully.
Do bots answer incoming queries automatically?
No interruption occurs. Read functionalities passively pull context without disconnecting current funnels.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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