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ThinkingData / 数数科技 MCP, Ready to Go

Use Claude or Cursor with the ThinkingData MCP to query gaming events and audit user profiles using your AI agent for faster data analysis.

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

ThinkingData MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the ThinkingData / 数数科技 Connector?

710ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 514ms
Average 710ms
Max 1191ms
Trend (improving) ↓ 24%
Daily latency
1191ms 7/12/2026
788ms 7/13/2026
815ms 7/14/2026
729ms 7/15/2026
763ms 7/16/2026
699ms 7/17/2026
731ms 7/18/2026
581ms 7/19/2026
742ms 7/20/2026
711ms 7/21/2026
589ms 7/22/2026
514ms 7/23/2026
548ms 7/24/2026
673ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with ThinkingData MCP with 8 Gaming Analytics Tools

Query events, audit users, and manage cohorts through natural language commands.

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.

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.

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.

Query users

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

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.

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.

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.

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.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

ThinkingData MCP for Gaming Analytics and Behavioral Auditing

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.

Game Data Analyst

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

Live-Ops Manager

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

Game Developer

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

Frequently Asked Questions

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 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.

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