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Vinkius

ThinkingData / 数数科技 Connector for AI agents.

8 live capabilities

Query gaming events and audit user profiles to get faster player insights.

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AI Agent

Why people use ThinkingData / 数数科技

ThinkingData for Gaming Analytics and Behavioral Auditing

With this Connector, you can just ask your agent to pull the latest behavior logs. You get a direct answer in seconds, allowing you to spot conversion friction and make decisions without the manual overhead.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct line to your game's analytics without the manual overhead.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Retention Analysis

    A designer asks why players leave level 3.

  2. Real-world use case 02

    VIP Auditing

    An ops lead needs to see the traits of top spenders.

  3. Real-world use case 03

    Live Event Prep

    A dev needs to see if a new cohort is ready.

Complete set · 8capabilities

The complete ThinkingData / 数数科技 capability set.

These are the exact actions your AI can choose when you ask it to work with ThinkingData / 数数科技.

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 8 available through ThinkingData / 数数科技.

  1. 01 Capability

    Query events

    Use query_events to run complex queries on your event data. It helps you understand player behavior and conversion funnels without manual filtering.

  2. 02 Capability

    Query users

    Use query_users to pull specific profile data for individual users. This is great for auditing specific accounts or checking user status.

  3. 03 Capability

    Get event properties

    Use get_event_properties to look up the specific properties tied to a particular event. You can use this to understand the data structure before running a query.

  4. 04 Capability

    Get project summary

    Use get_project_summary to get a high-level overview of your ThinkingData project. It provides a quick snapshot of your active events and cohorts.

Capability set02 / 02

05—08

4 capabilities in this set.

Part of 8 available through ThinkingData / 数数科技.

  1. 05 Capability

    List defined events

    Use list_defined_events to see every event currently set up in your project. This helps you quickly identify which data points are available for querying.

  2. 06 Capability

    List project cohorts

    Use list_project_cohorts to view all the user cohorts you have defined. It helps you check group sizes and membership rules quickly.

  3. 07 Capability

    Set user properties

    Use set_user_properties to update the profile properties for specific user IDs. This allows you to modify user tags or status directly through your agent.

  4. 08 Capability

    Track custom event

    Use track_custom_event to send a single custom event to the platform. Use this to test new tracking or trigger specific actions during development.

Set up in minutes

One URL. Then ask ThinkingData / 数数科技 to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ThinkingData / 数数科技 from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_7mJORCNrP18ydJxMazgZnnTvibCa4ej6wVs1Sib6/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it ThinkingData / 数数科技, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable ThinkingData / 数数科技 for the conversation.

Where the request belongs

Work ThinkingData / 数数科技 can move forward.

Built around the request

This is for the game data analyst who spends half their day copy-pasting from dashboards and the live-ops manager who needs instant answers during a high-pressure launch.

01

Game Data Analyst

They use this to run behavioral queries and generate cohort reports using natural language instead of manual filtering.

02

Live-Ops Manager

They use this to monitor real-time player behavior and verify event tracking during live game events.

03

Game Developer

They use this to test custom event tracking and update user properties during the development cycle.

Bring your own AI

Change the model, client or framework. Keep ThinkingData / 数数科技 connected.

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  • ChatGPT
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Before you connect

Questions about ThinkingData / 数数科技.

The practical details behind the request, access and result.

Can ThinkingData MCP help with game retention analysis?

Yes, it allows your agent to query event data to identify exactly where players are dropping off in your game, helping you spot friction points quickly.

How do I update user tags using ThinkingData MCP?

You can ask your agent to update properties for specific user IDs. This lets you modify tags or status directly through your chat interface.

Can I use ThinkingData MCP to see my project summary?

Yes, your agent can retrieve a high-level overview of your project, including active events and cohort counts, in one go.

Is ThinkingData MCP good for live-ops monitoring?

It is ideal for live-ops because it lets you monitor real-time behavior and verify tracking without leaving your workspace.

How do I track custom events with ThinkingData MCP?

You can tell your agent to track a custom event directly. This is great for verifying that your new tracking code is working correctly.

Does ThinkingData MCP work with Claude or Cursor?

Yes, it works with Claude, Cursor, and any other MCP-compatible client to give you a natural language interface for your gaming data.

How do I find my TA Project APPID and Tokens?

Log in to your ThinkingAnalytics Console, 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 capability 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.

One connection away

Give your agent a direct line to ThinkingData / 数数科技.

Connect ThinkingData / 数数科技 once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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