TopOn / Mobvista MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TopOn / Mobvista as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to TopOn / Mobvista. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in TopOn / Mobvista?"
)
print(response)
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.
LlamaIndex agents combine TopOn / Mobvista tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the TopOn / Mobvista MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the TopOn / Mobvista MCP Server
LlamaIndex provides unique advantages when paired with TopOn / Mobvista through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TopOn / Mobvista tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TopOn / Mobvista tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TopOn / Mobvista, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TopOn / Mobvista tools were called, what data was returned, and how it influenced the final answer
TopOn / Mobvista + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TopOn / Mobvista MCP Server delivers measurable value.
Hybrid search: combine TopOn / Mobvista real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TopOn / Mobvista to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying TopOn / Mobvista for fresh data
Analytical workflows: chain TopOn / Mobvista queries with LlamaIndex's data connectors to build multi-source analytical reports
TopOn / Mobvista MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect TopOn / Mobvista to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting TopOn / Mobvista to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTopOn / Mobvista + LlamaIndex FAQ
Common questions about integrating TopOn / Mobvista MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.