Bring Chatbot Builder
to Google ADK
Learn how to connect BotGenuity to Google ADK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the BotGenuity MCP Server?
Connect your BotGenuity account to any AI agent and take full control of your automated customer engagement and chatbot operations through natural conversation.
What you can do
- Bot Orchestration — List and manage all your AI chatbot instances programmatically, retrieving detailed configuration and high-fidelity operational status in real-time
- Lead Capture Intelligence — Access complete directories of leads captured during bot interactions, including high-fidelity contact metadata and conversation context
- Conversation Discovery — Retrieve detailed chat histories and individual message threads to maintain a perfectly coordinated overview of customer needs
- Real-Time Interaction — Programmatically send messages to your chatbots to test performance or integrate bot responses into custom business workflows
- Platform Monitoring — Access chatbot configuration details and monitor account-level connectivity directly through your agent for instant reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key (Bearer Token) from your BotGenuity dashboard (Settings > Security)
3. Start managing your conversational AI pipeline from Claude, Cursor, or any MCP client
No more manual toggling between chatbot portals or digging through individual lead tables. Your AI acts as your dedicated bot engineer and lead coordinator.
Who is this for?
- Customer Support Teams — instantly retrieve chat histories and monitor bot performance using natural language commands
- Marketing Managers — track lead generation trends and verify bot engagement without leaving your workspace
- Product Teams — integrate custom-trained chatbot responses into internal tools through simple AI queries
Built-in capabilities (6)
Send a message to a chatbot and get a response
Get details of a specific chatbot
Get full history for a conversation
List leads captured by a chatbot
List conversations for a chatbot
List all chatbots in your BotGenuity account
Why Google ADK?
Google ADK natively supports BotGenuity as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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 BotGenuity
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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 BotGenuity tools with BigQuery, Vertex AI, and Cloud Functions
BotGenuity in Google ADK
BotGenuity and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect BotGenuity 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 BotGenuity in Google ADK
The BotGenuity 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 6 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
BotGenuity for Google ADK
Every tool call from Google ADK to the BotGenuity MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my BotGenuity API Key?
Log in to your account, select a chatbot, navigate to Settings > Security, and generate your API Bearer Token.
Can I test bot responses via AI?
Yes! The chat_with_bot tool allows you to interact with your chatbots and retrieve high-fidelity AI responses programmatically.
How do I retrieve captured leads?
Use the list_captured_leads tool with a specific chatbot ID to retrieve all contact information collected during user sessions.
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