GeTui / 个推 MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GeTui / 个推 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="getui_agent",
tools=tools,
system_message=(
"You help users with GeTui / 个推. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GeTui / 个推 tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the GeTui / 个推 MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from GeTui / 个推 automatically
Why Use AutoGen with the GeTui / 个推 MCP Server
AutoGen provides unique advantages when paired with GeTui / 个推 through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GeTui / 个推 tools to solve complex tasks
Role-based architecture lets you assign GeTui / 个推 tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive GeTui / 个推 tool calls
Code execution sandbox: AutoGen agents can write and run code that processes GeTui / 个推 tool responses in an isolated environment
GeTui / 个推 + AutoGen Use Cases
Practical scenarios where AutoGen combined with the GeTui / 个推 MCP Server delivers measurable value.
Collaborative analysis: one agent queries GeTui / 个推 while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from GeTui / 个推, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using GeTui / 个推 data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process GeTui / 个推 responses in a sandboxed execution environment
GeTui / 个推 MCP Tools for AutoGen (10)
These 10 tools become available when you connect GeTui / 个推 to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting GeTui / 个推 to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"GeTui / 个推 + AutoGen FAQ
Common questions about integrating GeTui / 个推 MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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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 GeTui / 个推 to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.