Cloud BOT MCP Server for Google ADKGive Google ADK instant access to 7 tools to Cancel Job, Execute Bot, Get Bot Details, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Cloud BOT as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Cloud BOT app connector for Google ADK is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="cloud_bot_agent",
instruction=(
"You help users interact with Cloud BOT "
"using 7 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 Cloud BOT MCP Server
Connect your Cloud BOT account to any AI agent and take full control of your cloud-based Robotic Process Automation (RPA) and browser-based workflows through natural conversation.
Google ADK natively supports Cloud BOT as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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
- Robot Orchestration — List and manage all browser automation robots in your account programmatically, retrieving detailed configuration and input parameter metadata
- Automated Job Execution — Programmatically trigger bot executions with custom JSON parameters to coordinate high-fidelity web scraping and data entry tasks
- Workflow Monitoring — Track the real-time status of your automation jobs and retrieve detailed logs and results to maintain perfectly coordinated RPA operations
- File Architecture — Access and manage files within the Cloud BOT storage used or generated by your robots to maintain high-fidelity data cycles
- Lifecycle Management — Programmatically cancel or suspend running jobs and verify API connectivity directly through your agent for instant operational reporting
The Cloud BOT MCP Server exposes 7 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.
All 7 Cloud BOT tools available for Google ADK
When Google ADK connects to Cloud BOT through Vinkius, your AI agent gets direct access to every tool listed below — spanning rpa, web-scraping, no-code, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel a running job
You can pass optional input parameters as a JSON string. Trigger a bot execution
Get details for a specific bot
Check the status of a job
List all available RPA bots
List files in Cloud BOT storage
List recent execution jobs
Connect Cloud BOT to Google ADK via MCP
Follow these steps to wire Cloud BOT into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Cloud BOT MCP Server
Google ADK provides unique advantages when paired with Cloud BOT 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 Cloud BOT
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 Cloud BOT tools with BigQuery, Vertex AI, and Cloud Functions
Cloud BOT + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Cloud BOT MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Cloud BOT and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Cloud BOT tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Cloud BOT regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Cloud BOT
Example Prompts for Cloud BOT in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Cloud BOT immediately.
"List all available browser robots in my Cloud BOT account."
"Execute the 'Price Scraper' bot (ID: 'bot_123') with URL 'vinkius.com'."
"Show the status and logs for automation job 'job_456'."
Troubleshooting Cloud BOT MCP Server with Google ADK
Common issues when connecting Cloud BOT to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkCloud BOT + Google ADK FAQ
Common questions about integrating Cloud BOT MCP Server with Google ADK.