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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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.
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
- Real-world use case 01
Retention Analysis
A designer asks why players leave level 3.
- Real-world use case 02
VIP Auditing
An ops lead needs to see the traits of top spenders.
- 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.
01—04
4 capabilities in this set.
Part of 8 available through ThinkingData / 数数科技.
- 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.
- 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.
- 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.
- 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.
05—08
4 capabilities in this set.
Part of 8 available through ThinkingData / 数数科技.
- 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.
- 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.
- 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.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7mJORCNrP18ydJxMazgZnnTvibCa4ej6wVs1Sib6/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it ThinkingData / 数数科技, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ThinkingData / 数数科技 for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7mJORCNrP18ydJxMazgZnnTvibCa4ej6wVs1Sib6/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the ThinkingData / 数数科技 URL.
- Step 03
Save and start
Save the connection and enable ThinkingData / 数数科技 in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"thinkingdata": {
"url": "https://edge.vinkius.com/vk_preview_7mJORCNrP18ydJxMazgZnnTvibCa4ej6wVs1Sib6/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using ThinkingData / 数数科技
Open Agent mode in chat and ask: "Using ThinkingData / 数数科技, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"thinkingdata": {
"url": "https://edge.vinkius.com/vk_preview_7mJORCNrP18ydJxMazgZnnTvibCa4ej6wVs1Sib6/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using ThinkingData / 数数科技
Ask Copilot: "Using ThinkingData / 数数科技, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"thinkingdata": {
"url": "https://edge.vinkius.com/vk_preview_7mJORCNrP18ydJxMazgZnnTvibCa4ej6wVs1Sib6/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using ThinkingData / 数数科技
Open Cascade and ask: "Using ThinkingData / 数数科技, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"thinkingdata": {
"url": "https://edge.vinkius.com/vk_preview_7mJORCNrP18ydJxMazgZnnTvibCa4ej6wVs1Sib6/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using ThinkingData / 数数科技
Ask Cline: "Using ThinkingData / 数数科技, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add thinkingdata --transport http "https://edge.vinkius.com/vk_preview_7mJORCNrP18ydJxMazgZnnTvibCa4ej6wVs1Sib6/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using ThinkingData / 数数科技
Ask Claude: "Using ThinkingData / 数数科技, show me...". 8 tools are ready
Where the request belongs
Work ThinkingData / 数数科技 can move forward.
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.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep ThinkingData / 数数科技 connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
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.
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