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 AutoGen 8 tools — connect in under 2 minutes

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

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ThinkingData / 数数科技 as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="thinkingdata_agent",
            tools=tools,
            system_message=(
                "You help users with ThinkingData / 数数科技. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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<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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ThinkingData / 数数科技 tools. Connect 8 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the ThinkingData / 数数科技 MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 8 tools from ThinkingData / 数数科技 automatically

Why Use AutoGen with the ThinkingData / 数数科技 MCP Server

AutoGen provides unique advantages when paired with ThinkingData / 数数科技 through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ThinkingData / 数数科技 tools to solve complex tasks

Role-based architecture lets you assign ThinkingData / 数数科技 tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive ThinkingData / 数数科技 tool calls

Code execution sandbox: AutoGen agents can write and run code that processes ThinkingData / 数数科技 tool responses in an isolated environment

ThinkingData / 数数科技 + AutoGen Use Cases

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

Collaborative analysis: one agent queries ThinkingData / 数数科技 while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from ThinkingData / 数数科技, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using ThinkingData / 数数科技 data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process ThinkingData / 数数科技 responses in a sandboxed execution environment

ThinkingData / 数数科技 MCP Tools for AutoGen (8)

These 8 tools become available when you connect ThinkingData / 数数科技 to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

ThinkingData / 数数科技 + AutoGen FAQ

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

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call ThinkingData / 数数科技 tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.