BotPenguin MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add BotPenguin as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="botpenguin_agent",
instruction=(
"You help users interact with BotPenguin "
"using 8 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 BotPenguin MCP Server
Connect your BotPenguin account to any AI agent and orchestrate your customer conversations, lead generation, and support workflows through natural language.
Google ADK natively supports BotPenguin 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.
What you can do
- Contact Management — List and search for contacts or leads collected by your chatbots across multiple channels.
- Chat Oversight — Retrieve active and historical chat sessions to monitor agent and bot performance.
- Conversation Logging — Access the full message history for specific chat sessions.
- Message Automation — Send messages directly into active chats to assist users programmatically.
- Authentication Support — Trigger OTP SMS messages to verify user phone numbers.
- Team Coordination — List all configured tags and human agents to ensure proper lead routing.
The BotPenguin MCP Server exposes 8 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.
How to Connect BotPenguin to Google ADK via MCP
Follow these steps to integrate the BotPenguin MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from BotPenguin via MCP
Why Use Google ADK with the BotPenguin MCP Server
Google ADK provides unique advantages when paired with BotPenguin 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 BotPenguin
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 BotPenguin tools with BigQuery, Vertex AI, and Cloud Functions
BotPenguin + Google ADK Use Cases
Practical scenarios where Google ADK combined with the BotPenguin MCP Server delivers measurable value.
Enterprise data agents: ADK agents query BotPenguin and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine BotPenguin tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query BotPenguin regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including BotPenguin
BotPenguin MCP Tools for Google ADK (8)
These 8 tools become available when you connect BotPenguin to Google ADK via MCP:
get_chat_history
Retrieve message history of a chat
get_contact
Get details of a specific contact
list_agents
List all human agents/operators
list_chats
List active chat sessions
list_contacts
Optional search text. List all BotPenguin contacts/leads
list_tags
List all contact tags
send_message
Send a message in a specific chat
send_otp
Send an OTP SMS to verify a phone number
Example Prompts for BotPenguin in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with BotPenguin immediately.
"List the most recent contacts in BotPenguin."
"Show the chat history for chat session chat_123."
"Send an OTP SMS to +1555998877."
Troubleshooting BotPenguin MCP Server with Google ADK
Common issues when connecting BotPenguin to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkBotPenguin + Google ADK FAQ
Common questions about integrating BotPenguin MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect BotPenguin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BotPenguin to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
