Sensors Data Connector for AI agents.
10 live capabilities
Analyze user behavior and conversion funnels in your big data platform.
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Why people use Sensors Data
Sensors Data for Real-Time User Behavior Analytics
With this Connector, you just ask your agent. It pulls the funnel metrics, identifies the friction points, and gives you the answer in a chat window. You get the same data but without the manual overhead.
What Vinkius changes
That the Sensors Data MCP provides a conversational interface for your big data analytics.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Identifying a drop-off in the sign-up flow
A PM notices a drop-off and asks the agent to `analyze_funnel` for the 'Registration' project to see which step has the highest friction.
- Real-world use case 02
Understanding high-value user behavior
A growth engineer uses `lookup_user` to see what the top 1% of customers do differently compared to average users.
- Real-world use case 03
Checking data pipeline reliability
An engineer asks the agent to check the ingestion rate for 'AnalyticsBeta' to ensure no data is being lost during a peak period.
Complete set · 10capabilities
The complete Sensors Data capability set.
These are the exact actions your AI can choose when you ask it to work with Sensors Data.
01—04
4 capabilities in this set.
Part of 10 available through Sensors Data.
- 01 Capability
List events
List all defined event names in your schema. This gives your agent a menu of what it can actually track.
- 02 Capability
Get user behavior sequence
Get the chronological order of events for any specific user. This helps you see the exact path a customer took.
- 03 Capability
List user properties
List all defined user profile properties. Use this to see what data you're collecting on your users.
- 04 Capability
Lookup user
Get the full profile information for a specific user ID. This is perfect for deep-diving into individual behaviors.
05—07
3 capabilities in this set.
Part of 10 available through Sensors Data.
- 05 Capability
Query behavior list
Retrieve a list of user behaviors and events. Use this to scan for general activity patterns.
- 06 Capability
Analyze events
Run complex analysis on your event data. This is useful for spotting trends across different user actions.
- 07 Capability
Analyze funnel
Calculate conversion metrics for your sales or sign-up flows. It shows you exactly where people are dropping off.
08—10
3 capabilities in this set.
Part of 10 available through Sensors Data.
- 08 Capability
Analyze retention
Calculate how many users stay active over time. Use this to measure the long-term value of your product.
- 09 Capability
Get event schema
Retrieve the property schema for a specific event. This helps your agent understand what data points are available.
- 10 Capability
Get project info
Retrieve metadata for your Sensors Data projects. Use this to quickly check project names and settings.
Set up in minutes
One URL. Then ask Sensors Data to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Sensors Data 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_T2xX3WQBTquyNuo5UxCXOFQhIkDbbooC2Gc9ABSM/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 Sensors Data, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Sensors Data for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_T2xX3WQBTquyNuo5UxCXOFQhIkDbbooC2Gc9ABSM/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 Sensors Data URL.
- Step 03
Save and start
Save the connection and enable Sensors Data in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"sensors-data": {
"url": "https://edge.vinkius.com/vk_preview_T2xX3WQBTquyNuo5UxCXOFQhIkDbbooC2Gc9ABSM/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 Sensors Data
Open Agent mode in chat and ask: "Using Sensors Data, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"sensors-data": {
"url": "https://edge.vinkius.com/vk_preview_T2xX3WQBTquyNuo5UxCXOFQhIkDbbooC2Gc9ABSM/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 Sensors Data
Ask Copilot: "Using Sensors Data, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"sensors-data": {
"url": "https://edge.vinkius.com/vk_preview_T2xX3WQBTquyNuo5UxCXOFQhIkDbbooC2Gc9ABSM/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 Sensors Data
Open Cascade and ask: "Using Sensors Data, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"sensors-data": {
"url": "https://edge.vinkius.com/vk_preview_T2xX3WQBTquyNuo5UxCXOFQhIkDbbooC2Gc9ABSM/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 Sensors Data
Ask Cline: "Using Sensors Data, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add sensors-data --transport http "https://edge.vinkius.com/vk_preview_T2xX3WQBTquyNuo5UxCXOFQhIkDbbooC2Gc9ABSM/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 Sensors Data
Ask Claude: "Using Sensors Data, show me...". 10 tools are ready
Where the request belongs
Work Sensors Data can move forward.
This is for the data analyst who's tired of manual SQL, the product manager who needs real-time feedback on a new feature, and the growth engineer who needs to see user churn patterns instantly.
Data Analyst
Runs retention and funnel analyses via natural language instead of writing manual queries.
Product Manager
Monitors real-time feature adoption and user behavior to make faster roadmap decisions.
Growth Engineer
Pulls specific user profiles to understand high-value behaviors for personalization.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Axiom
Manage logs and observability data via Axiom. ingest data, run APL queries, and manage datasets or monitors directly from any AI agent.
PipeStream
Streamline real-time data flows. create streams, publish events, and fetch historical data directly from your AI agent.
Heap
Automate product analytics via Heap. track events, identify users, and manage segments directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Sensors Data 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 -
JetBrains -
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 Sensors Data.
The practical details behind the request, access and result.
What can the Sensors Data MCP do for my team?
It lets your AI agent directly query user behavior, analyze conversion funnels, and monitor your data health in one place.
Can I use the Sensors Data MCP to see why users are leaving?
Yes, you can ask your agent to analyze specific funnels to find out exactly where people are dropping off.
Does the Sensors Data MCP work with my current analytics?
It works specifically with the Sensors Data (神策数据) platform to pull your existing user profiles and events.
How does the Sensors Data MCP help with data quality?
You can ask your agent to check the ingestion rates and health of your data pipelines in real-time.
Can I get a history of what a specific user did?
Yes, you can ask the agent to pull the chronological behavior sequence for any specific user ID.
Is the Sensors Data MCP good for product managers?
It's perfect for PMs who need to see real-time feature adoption and retention without writing SQL.
How do I connect my Sensors Data account?
You'll need your Project Name and API Key from your Sensors Data dashboard to link it to your AI client.
Can I automatically retrieve the behavioral profile for a specific user ID?
Yes! Use the get_user_profile capability with the specific User ID. Your agent will return all recorded attributes and recent behavioral events associated with that user.
How do I monitor the data ingestion status via the AI agent?
Use the get_ingestion_health capability. The agent will retrieve real-time statistics on data volume, successful ingestions, and any flagged errors in your pipeline.
Can I list all events tracked in a specific project?
Yes! Use the list_events capability. Your agent will return a list of all event names and their associated metadata currently configured in your Sensors Data project.
One connection away
Give your agent a direct line to Sensors Data.
Connect Sensors Data once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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