Sensors Data MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Sensors Data through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Sensors Data and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"sensors-data": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Sensors Data MCP Server
Connect your AI agents to Sensors Data (神策数据), the leading professional big data analytics platform. This MCP provides 10 tools to manage event tracking, retrieve user behavioral profiles, and monitor the health of your data pipeline directly through natural conversation.
Windsurf's Cascade agent chains multiple Sensors Data tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Event Orchestration — Query and analyze event metadata and properties to understand user interactions in real-time
- User Profiling — Retrieve detailed behavioral profiles and attributes for specific user IDs to power personalized experiences
- Data Health — Monitor ingestion rates and check for data quality issues across your analytics streams
- Project Management — List and inspect project configurations, including project names and token settings
- Export Intelligence — Trigger and monitor data export tasks for further downstream processing or reporting
The Sensors Data MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 Sensors Data to Windsurf via MCP
Follow these steps to integrate the Sensors Data MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Sensors Data
Open Cascade and ask: "Using Sensors Data, help me...". 10 tools available
Why Use Windsurf with the Sensors Data MCP Server
Windsurf provides unique advantages when paired with Sensors Data through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Sensors Data + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Sensors Data MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Sensors Data and generate models, types, or handlers based on real API responses
Live debugging: query Sensors Data tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Sensors Data and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Sensors Data data with Cascade's code generation to scaffold entire features in minutes
Sensors Data MCP Tools for Windsurf (10)
These 10 tools become available when you connect Sensors Data to Windsurf via MCP:
analyze_events
Perform complex event analysis
analyze_funnel
Calculate conversion funnel metrics
analyze_retention
Calculate user retention rates
get_event_schema
Retrieve the property schema for a specific event
get_project_info
Retrieve Sensors Data project metadata
get_user_behavior_sequence
Get the chronological sequence of events for a user
list_events
List all defined event names in the schema
list_user_properties
List all defined user profile properties
lookup_user
Get profile information for a specific user
query_behavior_list
Retrieve a list of user behaviors/events
Example Prompts for Sensors Data in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Sensors Data immediately.
"Show me the top 5 events by volume in project 'MainApp' for today."
"Get the behavioral attributes for user ID 'user_sensors_777'."
"Is the data ingestion pipeline healthy for project 'AnalyticsBeta'?"
Troubleshooting Sensors Data MCP Server with Windsurf
Common issues when connecting Sensors Data to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Sensors Data + Windsurf FAQ
Common questions about integrating Sensors Data MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Sensors Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Sensors Data to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.