Can I automatically retrieve the behavioral profile for a specific user ID?

Yes! Use the `get_user_profile` tool 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` tool. 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` tool. Your agent will return a list of all event names and their associated metadata currently configured in your Sensors Data project.

Sensors Data MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Sensors Data
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Sensors Data through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Sensors Data Assistant",
            instructions=(
                "You help users interact with Sensors Data. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Sensors Data"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 10 tools from Sensors Data through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Sensors Data, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Sensors Data MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Sensors Data

Why Use OpenAI Agents SDK with the Sensors Data MCP Server

OpenAI Agents SDK provides unique advantages when paired with Sensors Data through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Sensors Data + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Sensors Data MCP Server delivers measurable value.

Automated workflows: build agents that query Sensors Data, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Sensors Data, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Sensors Data tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Sensors Data to resolve tickets, look up records, and update statuses without human intervention

Sensors Data MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Sensors Data to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Sensors Data to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Sensors Data + OpenAI Agents SDK FAQ

Common questions about integrating Sensors Data MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.