ThinkingData / 数数科技 MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ThinkingData / 数数科技 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="ThinkingData / 数数科技 Assistant",
instructions=(
"You help users interact with ThinkingData / 数数科技. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ThinkingData / 数数科技"
)
print(result.final_output)
asyncio.run(main())
* 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 ThinkingData / 数数科技 MCP Server
Empower your AI agent to orchestrate your data analytics and player insights with ThinkingData (数数科技), the premier analytics platform for the global gaming industry. By connecting ThinkingData to your agent, you transform complex event querying, user profile auditing, and cohort management into a natural conversation. Your agent can instantly retrieve project metadata, list defined events and their schemas, execute complex behavioral queries, and even ingest custom events without you ever needing to navigate the comprehensive TA Dashboard. Whether you are conducting a player retention audit or coordinating a live-ops event refresh, your agent acts as a real-time data coordinator, providing accurate results from a single, authorized source.
The OpenAI Agents SDK auto-discovers all 8 tools from ThinkingData / 数数科技 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ThinkingData / 数数科技, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Project Orchestration — Retrieve project summaries, list defined events, and discover property schemas.
- Behavioral Auditing — Execute complex queries on event data to understand player behavior and conversion funnels.
- User Management — Query user profile data and update properties for specific distinct IDs.
- Data Ingestion — Track custom events and set user properties directly through the agent for rapid testing.
- Operational Insights — List defined user cohorts, saved reports, and monitor API connectivity status.
The ThinkingData / 数数科技 MCP Server exposes 8 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 ThinkingData / 数数科技 to OpenAI Agents SDK via MCP
Follow these steps to integrate the ThinkingData / 数数科技 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 8 tools from ThinkingData / 数数科技
Why Use OpenAI Agents SDK with the ThinkingData / 数数科技 MCP Server
OpenAI Agents SDK provides unique advantages when paired with ThinkingData / 数数科技 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
ThinkingData / 数数科技 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ThinkingData / 数数科技 MCP Server delivers measurable value.
Automated workflows: build agents that query ThinkingData / 数数科技, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ThinkingData / 数数科技, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ThinkingData / 数数科技 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ThinkingData / 数数科技 to resolve tickets, look up records, and update statuses without human intervention
ThinkingData / 数数科技 MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect ThinkingData / 数数科技 to OpenAI Agents SDK via MCP:
get_event_properties
Get properties for event
get_project_summary
Get project overview
list_defined_events
List project events
list_project_cohorts
List user cohorts
query_events
Execute event query
query_users
Execute user query
set_user_properties
Update user profile
track_custom_event
Track a single event
Example Prompts for ThinkingData / 数数科技 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ThinkingData / 数数科技 immediately.
"Show me a summary of our ThinkingData project configuration."
"List all defined events in ThinkingData."
"Check the profile for user 'USER_88210934'."
Troubleshooting ThinkingData / 数数科技 MCP Server with OpenAI Agents SDK
Common issues when connecting ThinkingData / 数数科技 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ThinkingData / 数数科技 + OpenAI Agents SDK FAQ
Common questions about integrating ThinkingData / 数数科技 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ThinkingData / 数数科技 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript-native agent framework for modern web stacks.
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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 ThinkingData / 数数科技 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.