GeTui / 个推 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GeTui / 个推 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="GeTui / 个推 Assistant",
instructions=(
"You help users interact with GeTui / 个推. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from GeTui / 个推"
)
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 GeTui / 个推 MCP Server
Empower your AI agent to orchestrate your push notification infrastructure with GeTui (个推), the dominant CPaaS and developer services provider in China. By connecting GeTui to your agent, you transform complex device targeting, message broadcasting, and delivery auditing into a natural conversation. Your agent can instantly send targeted notifications to specific users, broadcast messages to your entire user base, retrieve real-time delivery and click statistics, and monitor user online status without you ever needing to navigate the comprehensive GeTui Developer Center. Whether you are automating verification flows or coordinating large-scale promotional alerts, your agent acts as a real-time messaging assistant, keeping your communication flow accurate and your user insights up-to-date.
The OpenAI Agents SDK auto-discovers all 10 tools from GeTui / 个推 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GeTui / 个推, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Push Orchestration — Send targeted, list-based, or broadcast notifications with full support for custom payloads.
- User Status Monitoring — Retrieve real-time online/offline status and associate custom aliases with Client IDs (CIDs).
- Tag & Interest Auditing — Browse user tags to identify audience segments and interest patterns for refined targeting.
- Delivery Analytics — Access real-time statistics for push tasks, including delivery counts, display rates, and clicks.
- Growth Insights — Monitor application-wide statistics for new and active users across specific dates.
The GeTui / 个推 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 GeTui / 个推 to OpenAI Agents SDK via MCP
Follow these steps to integrate the GeTui / 个推 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 GeTui / 个推
Why Use OpenAI Agents SDK with the GeTui / 个推 MCP Server
OpenAI Agents SDK provides unique advantages when paired with GeTui / 个推 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
GeTui / 个推 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the GeTui / 个推 MCP Server delivers measurable value.
Automated workflows: build agents that query GeTui / 个推, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries GeTui / 个推, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through GeTui / 个推 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query GeTui / 个推 to resolve tickets, look up records, and update statuses without human intervention
GeTui / 个推 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect GeTui / 个推 to OpenAI Agents SDK via MCP:
bind_user_alias
g., username) with a Client ID. Bind alias to user
get_app_user_stats
Get application user stats
get_cid_status
Check user online status
get_daily_push_report
Get daily push report
get_push_status
Check push task status
get_user_tags
Get user tags
push_to_all
Broadcast push to all users
push_to_list
Send push to multiple users
push_to_single
Send push to single user
query_user_alias
Query user alias
Example Prompts for GeTui / 个推 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GeTui / 个推 immediately.
"Send a push notification to CID '1a0918c...' with title 'Urgent Update'."
"Check the online status for user CID '9920a1b...'."
"Show me the push report for yesterday."
Troubleshooting GeTui / 个推 MCP Server with OpenAI Agents SDK
Common issues when connecting GeTui / 个推 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
GeTui / 个推 + OpenAI Agents SDK FAQ
Common questions about integrating GeTui / 个推 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 GeTui / 个推 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 GeTui / 个推 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
