GeTui / 个推 MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GeTui / 个推 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to GeTui / 个推 "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in GeTui / 个推?"
)
print(result.data)
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.
Pydantic AI validates every GeTui / 个推 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the GeTui / 个推 MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from GeTui / 个推 with type-safe schemas
Why Use Pydantic AI with the GeTui / 个推 MCP Server
Pydantic AI provides unique advantages when paired with GeTui / 个推 through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GeTui / 个推 integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your GeTui / 个推 connection logic from agent behavior for testable, maintainable code
GeTui / 个推 + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the GeTui / 个推 MCP Server delivers measurable value.
Type-safe data pipelines: query GeTui / 个推 with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple GeTui / 个推 tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query GeTui / 个推 and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock GeTui / 个推 responses and write comprehensive agent tests
GeTui / 个推 MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect GeTui / 个推 to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting GeTui / 个推 to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGeTui / 个推 + Pydantic AI FAQ
Common questions about integrating GeTui / 个推 MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.