Bring Chatbot Builder
to Google ADK
Learn how to connect Typebot to Google ADK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Typebot MCP Server?
Connect your Typebot account to any AI agent and simplify how you build, manage, and analyze your conversational assistants through natural conversation.
What you can do
- Bot Management — List all typebots across your workspaces and folders, and retrieve detailed metadata and flow structures.
- Deployment Control — Publish the latest bot changes to production instantly without leaving your agent.
- Result Analysis — List and export user submissions and conversation results to track leads and performance.
- Organization Oversight — Manage workspaces and folders to keep your conversational projects structured.
- Session Testing — Programmatically start new chat sessions to verify bot logic and user experiences.
How it works
1. Subscribe to this server
2. Enter your Typebot API Token (found in your account settings)
3. Start managing your conversational forms from Claude, Cursor, or any MCP client
Who is this for?
- Conversation Designers — quickly verify bot logic and publish updates via simple AI commands.
- Marketing & Sales Teams — monitor incoming results and export lead data directly from the workspace.
- Product Managers — get instant bird's-eye views of bot performance and organization folders via the AI assistant.
Built-in capabilities (8)
Permanently delete a typebot
Essential for reviewing the bot logic. Get details and structure for a specific typebot
Folders are used to group related typebots. List all folders in a workspace
Essential for data analysis and lead export. List collected user responses for a bot
Can be filtered by a specific workspace ID. List all conversational typebots
Workspaces contain folders and bots. List all accessible Typebot workspaces
Requires the unique bot ID. Publish and deploy the latest bot changes
Useful for testing bot flows or automated interactions. Programmatically start a new bot conversation
Why Google ADK?
Google ADK natively supports Typebot 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 Typebot
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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 Typebot tools with BigQuery, Vertex AI, and Cloud Functions
Typebot in Google ADK
Typebot and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Typebot to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Typebot in Google ADK
The Typebot 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Typebot for Google ADK
Every tool call from Google ADK to the Typebot MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I publish a bot after making changes via AI?
Yes! Use the publish_typebot action and provide the unique bot ID. Your agent will instantly deploy the latest changes to the public URL.
How do I see the submissions or leads collected by a bot?
Run the list_typebot_results query with your Typebot ID. The agent will retrieve the complete history of user responses and collected data.
Is it possible to list bots from a specific workspace?
Absolutely. Use the list_typebots tool and provide the optional workspace_id to retrieve only the bots associated with that team area.
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.
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Update: pip install --upgrade google-adk