Bring Chatbot Orchestration
to Google ADK
Learn how to connect SmartChatAI to Google ADK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the SmartChatAI MCP Server?
Connect your SmartChatAI account to any AI agent to automate your intelligent chatbot orchestration and lead collection. SmartChatAI provides a premier platform for building custom AI bots, and this integration allows you to retrieve chatbot metadata, manage knowledge bases via URL or PDF, and track conversational history through natural conversation.
What you can do
- Chatbot Orchestration — List all managed AI bots and retrieve detailed profile metadata, including status and configuration programmatically.
- Knowledge Base Lifecycle Management — Add new data sources (URL, PDF, Text) to your bots' knowledge base directly from the AI interface to ensure they are always informed.
- Message & Reply Control — Send automated replies and retrieve detailed chat history to maintain high-quality customer interactions via natural language.
- Web Scraper Automation — Trigger website scraping to ingest content into your AI models and ensure your bots have the latest information.
- Operational Monitoring — Track system health, manage webhooks, and monitor bot activity to ensure your conversational platform is always optimized.
How it works
1. Subscribe to this server
2. Enter your SmartChatAI API Key from your dashboard settings
3. Start managing your AI bots from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Bot Developers — quickly update knowledge bases and test bot responses without switching tabs.
- Marketing Operations — automate the retrieval of lead data from chats and monitor bot engagement results via natural conversation.
- Customer Success Teams — streamline the retrieval of conversational logs and monitor user satisfaction directly within the chat.
Built-in capabilities (12)
Train bot using a PDF
Train bot using raw text
Train bot using a URL
Verify SmartChatAI API status
Requires a name and optional initial prompt. Provision a new AI agent
Get account profile
Retrieve conversation transcripts
Get configuration for a specific bot
List all AI chatbots
List active webhooks
Send a message and get AI reply
Discover and index domain links
Why Google ADK?
Google ADK natively supports SmartChatAI 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.
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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 SmartChatAI
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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 SmartChatAI tools with BigQuery, Vertex AI, and Cloud Functions
SmartChatAI in Google ADK
SmartChatAI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect SmartChatAI 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 SmartChatAI in Google ADK
The SmartChatAI 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 12 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
SmartChatAI for Google ADK
Every tool call from Google ADK to the SmartChatAI 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 SmartChatAI API Key?
Log in to your SmartChatAI dashboard and you will find your unique secret API Key in the Settings or account management section.
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