TalkingData 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 TalkingData 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="talkingdata_agent",
instruction=(
"You help users interact with TalkingData "
"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 TalkingData MCP Server
Empower your AI agent to orchestrate your product intelligence and user behavioral data with TalkingData, the premier big data platform in China. By connecting TalkingData to your agent, you transform complex event tracking auditing, user growth analysis, and multi-channel attribution into a natural conversation. Your agent can instantly retrieve high-level application summaries, monitor active user trends, audit custom event data, and even provide detailed hardware device statistics without you ever needing to navigate the comprehensive TalkingData portal. Whether you are conducting a product health audit or monitoring real-time campaign performance across different channels, your agent acts as a real-time data analyst assistant, keeping your metrics accurate and your growth moving.
Google ADK natively supports TalkingData 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
- Metrics Orchestration — Retrieve real-time active user, new registration, and retention statistics for your application.
- Event Auditing — Browse tracked custom events and retrieve detailed analytical data for specific behavioral triggers.
- Channel Monitoring — Analyze user acquisition and performance across different marketing and distribution channels.
- Hardware Insights — Access detailed breakdowns of user devices, including model, OS, and hardware specifications.
- Session Analysis — Retrieve average session duration and usage frequency to monitor product engagement levels.
The TalkingData 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 TalkingData to Google ADK via MCP
Follow these steps to integrate the TalkingData 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 TalkingData via MCP
Why Use Google ADK with the TalkingData MCP Server
Google ADK provides unique advantages when paired with TalkingData 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 TalkingData
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 TalkingData tools with BigQuery, Vertex AI, and Cloud Functions
TalkingData + Google ADK Use Cases
Practical scenarios where Google ADK combined with the TalkingData MCP Server delivers measurable value.
Enterprise data agents: ADK agents query TalkingData and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine TalkingData tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query TalkingData regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including TalkingData
TalkingData MCP Tools for Google ADK (10)
These 10 tools become available when you connect TalkingData to Google ADK via MCP:
get_active_users
Get active user statistics
get_app_info
Get application configuration info
get_app_summary
Get application performance summary
get_channel_data
Get acquisition channel data
get_device_stats
Get device hardware statistics
get_event_data
Get custom event analytics
get_new_users
Get new user registrations
get_session_stats
Get session usage statistics
get_user_retention
Get user retention data
list_events
List tracked events
Example Prompts for TalkingData in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with TalkingData immediately.
"Show me the application performance summary."
"What is the active user count for today?"
"List all tracked events in the app."
Troubleshooting TalkingData MCP Server with Google ADK
Common issues when connecting TalkingData to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTalkingData + Google ADK FAQ
Common questions about integrating TalkingData 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 TalkingData 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 TalkingData to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.