TopOn / Mobvista MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TopOn / Mobvista 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 TopOn / Mobvista "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in TopOn / Mobvista?"
)
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 TopOn / Mobvista MCP Server
Empower your AI agent to orchestrate your mobile game monetization with TopOn / Mobvista, the leading global platforms for ad mediation and programmatic buying. By connecting TopOn and Mobvista (Mintegral) to your agent, you transform complex performance auditing and waterfall management into a natural conversation. Your agent can instantly list your apps, retrieve real-time revenue reports, analyze eCPM trends, and even audit your placement waterfalls for optimization opportunities without you needing to navigate multiple dashboards. Whether you are an indie developer or part of a large studio, your agent acts as a real-time monetization manager, ensuring your ad revenue is always maximized.
Pydantic AI validates every TopOn / Mobvista tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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
- Unified Reporting — Get performance summaries and detailed revenue reports from both TopOn and Mintegral instantly.
- Waterfall Management — Browse ad placements and audit waterfall configurations to identify low-performing ad networks.
- Performance Auditing — Check the 'health' of your placements and receive AI-driven recommendations for waterfall optimization.
- Campaign Insights — Monitor Mintegral offers and app-level statistics to track your user acquisition and monetization synergy.
- Revenue Trends — Visualize daily revenue trends and eCPM fluctuations to stay on top of market changes.
The TopOn / Mobvista MCP Server exposes 8 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 TopOn / Mobvista to Pydantic AI via MCP
Follow these steps to integrate the TopOn / Mobvista 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 8 tools from TopOn / Mobvista with type-safe schemas
Why Use Pydantic AI with the TopOn / Mobvista MCP Server
Pydantic AI provides unique advantages when paired with TopOn / Mobvista 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 TopOn / Mobvista integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your TopOn / Mobvista connection logic from agent behavior for testable, maintainable code
TopOn / Mobvista + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the TopOn / Mobvista MCP Server delivers measurable value.
Type-safe data pipelines: query TopOn / Mobvista with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple TopOn / Mobvista tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query TopOn / Mobvista and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock TopOn / Mobvista responses and write comprehensive agent tests
TopOn / Mobvista MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect TopOn / Mobvista to Pydantic AI via MCP:
get_mintegral_app_stats
Get Mintegral app statistics
get_mintegral_reporting
Get Mintegral performance reporting
get_monetization_summary
Get overall monetization summary
get_topon_reporting
Get TopOn performance reporting
get_topon_waterfall
Get TopOn placement waterfall
list_mintegral_offers
List Mintegral offers
list_topon_apps
List TopOn applications
list_topon_placements
List TopOn ad placements
Example Prompts for TopOn / Mobvista in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with TopOn / Mobvista immediately.
"Show my monetization summary for today."
"Check the waterfall health for placement 'ad-unit-772'."
"List my ad placements for app 'Galaxy Quest'."
Troubleshooting TopOn / Mobvista MCP Server with Pydantic AI
Common issues when connecting TopOn / Mobvista to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTopOn / Mobvista + Pydantic AI FAQ
Common questions about integrating TopOn / Mobvista 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 TopOn / Mobvista 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 TopOn / Mobvista to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.