How do I find my TA Project APPID and Tokens?

Log in to your [ThinkingAnalytics Console](https://www.thinkingdata.cn/), go to [Project Management] -> [Project Info] to find your APPID and Data Token. The Query Secret is usually found in the [Account Management] or [API Management] section.

What is the 'distinctId'?

The `distinctId` is the unique identifier for a user in your system (e.g., a device ID or an account ID). It is used to tie events and properties to a specific individual profile in ThinkingAnalytics.

Can I perform complex data analysis through the agent?

Yes! Use the `query_events` tool with a JSON query definition. Your agent will fetch the raw or aggregated results from TA, allowing you to audit behavioral patterns using natural language reasoning over the returned data.

ThinkingData / 数数科技 MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: ThinkingData / 数数科技
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ThinkingData / 数数科技 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="thinkingdata_agent",
    instruction=(
        "You help users interact with ThinkingData / 数数科技 "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ThinkingData / 数数科技 MCP Server

Empower your AI agent to orchestrate your data analytics and player insights with ThinkingData (数数科技), the premier analytics platform for the global gaming industry. By connecting ThinkingData to your agent, you transform complex event querying, user profile auditing, and cohort management into a natural conversation. Your agent can instantly retrieve project metadata, list defined events and their schemas, execute complex behavioral queries, and even ingest custom events without you ever needing to navigate the comprehensive TA Dashboard. Whether you are conducting a player retention audit or coordinating a live-ops event refresh, your agent acts as a real-time data coordinator, providing accurate results from a single, authorized source.

Google ADK natively supports ThinkingData / 数数科技 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

Project Orchestration — Retrieve project summaries, list defined events, and discover property schemas.
Behavioral Auditing — Execute complex queries on event data to understand player behavior and conversion funnels.
User Management — Query user profile data and update properties for specific distinct IDs.
Data Ingestion — Track custom events and set user properties directly through the agent for rapid testing.
Operational Insights — List defined user cohorts, saved reports, and monitor API connectivity status.

The ThinkingData / 数数科技 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 ThinkingData / 数数科技 to Google ADK via MCP

Follow these steps to integrate the ThinkingData / 数数科技 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 ThinkingData / 数数科技 via MCP

Why Use Google ADK with the ThinkingData / 数数科技 MCP Server

Google ADK provides unique advantages when paired with ThinkingData / 数数科技 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 ThinkingData / 数数科技

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 ThinkingData / 数数科技 tools with BigQuery, Vertex AI, and Cloud Functions

ThinkingData / 数数科技 + Google ADK Use Cases

Practical scenarios where Google ADK combined with the ThinkingData / 数数科技 MCP Server delivers measurable value.

Enterprise data agents: ADK agents query ThinkingData / 数数科技 and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine ThinkingData / 数数科技 tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query ThinkingData / 数数科技 regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ThinkingData / 数数科技

ThinkingData / 数数科技 MCP Tools for Google ADK (8)

These 8 tools become available when you connect ThinkingData / 数数科技 to Google ADK via MCP:

get_event_properties

Get properties for event

get_project_summary

Get project overview

list_defined_events

List project events

list_project_cohorts

List user cohorts

query_events

Execute event query

query_users

Execute user query

set_user_properties

Update user profile

track_custom_event

Track a single event

Example Prompts for ThinkingData / 数数科技 in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with ThinkingData / 数数科技 immediately.

"Show me a summary of our ThinkingData project configuration."

"List all defined events in ThinkingData."

"Check the profile for user 'USER_88210934'."

Troubleshooting ThinkingData / 数数科技 MCP Server with Google ADK

Common issues when connecting ThinkingData / 数数科技 to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

ThinkingData / 数数科技 + Google ADK FAQ

Common questions about integrating ThinkingData / 数数科技 MCP Server with Google ADK.

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.