Sensors Data MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Sensors Data 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="sensors_data_agent",
instruction=(
"You help users interact with Sensors Data "
"using 10 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 Sensors Data MCP Server
Connect your AI agents to Sensors Data (神策数据), the leading professional big data analytics platform. This MCP provides 10 tools to manage event tracking, retrieve user behavioral profiles, and monitor the health of your data pipeline directly through natural conversation.
Google ADK natively supports Sensors Data as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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
- Event Orchestration — Query and analyze event metadata and properties to understand user interactions in real-time
- User Profiling — Retrieve detailed behavioral profiles and attributes for specific user IDs to power personalized experiences
- Data Health — Monitor ingestion rates and check for data quality issues across your analytics streams
- Project Management — List and inspect project configurations, including project names and token settings
- Export Intelligence — Trigger and monitor data export tasks for further downstream processing or reporting
The Sensors Data MCP Server exposes 10 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 Sensors Data to Google ADK via MCP
Follow these steps to integrate the Sensors Data 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 10 tools from Sensors Data via MCP
Why Use Google ADK with the Sensors Data MCP Server
Google ADK provides unique advantages when paired with Sensors Data 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 Sensors Data
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 Sensors Data tools with BigQuery, Vertex AI, and Cloud Functions
Sensors Data + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Sensors Data MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Sensors Data and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Sensors Data tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Sensors Data regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Sensors Data
Sensors Data MCP Tools for Google ADK (10)
These 10 tools become available when you connect Sensors Data to Google ADK via MCP:
analyze_events
Perform complex event analysis
analyze_funnel
Calculate conversion funnel metrics
analyze_retention
Calculate user retention rates
get_event_schema
Retrieve the property schema for a specific event
get_project_info
Retrieve Sensors Data project metadata
get_user_behavior_sequence
Get the chronological sequence of events for a user
list_events
List all defined event names in the schema
list_user_properties
List all defined user profile properties
lookup_user
Get profile information for a specific user
query_behavior_list
Retrieve a list of user behaviors/events
Example Prompts for Sensors Data in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Sensors Data immediately.
"Show me the top 5 events by volume in project 'MainApp' for today."
"Get the behavioral attributes for user ID 'user_sensors_777'."
"Is the data ingestion pipeline healthy for project 'AnalyticsBeta'?"
Troubleshooting Sensors Data MCP Server with Google ADK
Common issues when connecting Sensors Data to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkSensors Data + Google ADK FAQ
Common questions about integrating Sensors Data 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 Sensors Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
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 Sensors Data to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
