How to Use the TopOn / Mobvista MCP in CrewAI

Q: How do I conduct a TopOn / Mobvista revenue audit with CrewAI?

Assign one agent to run gettoponreporting. Another agent can then follow up by calling getmonetizationsummary to provide context. The crew’s shared memory links these two data streams for a unified report.

Q: What is the best way to check TopOn / Mobvista placements with CrewAI?

Use listtoponplacements as your first tool call. A subsequent agent can then use this list of placements to inform a more detailed analysis using the MCP Server's other tools.

Q: Can I automate Mintegral reporting and apps with CrewAI?

Absolutely. You set up an 'Ops Agent' that runs getmintegralreporting and passes the resulting data structure to a second agent which then calls listmintegraloffers, keeping the entire process autonomous.

Run autonomous ad mediation analysis using CrewAI's multi-agent collaboration.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect TopOn / Mobvista MCP to CrewAI

Create your Vinkius account to connect TopOn / Mobvista to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup TopOn / Mobvista with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Orchestrate full monetization review with the MCP Server.

You set up a team: one agent calls `get_monetization_summary` for initial data, and a second agent takes that output to run `get_topon_waterfall`. The shared memory ensures the waterfall analysis is based on the summary results. A third agent can then use `get_topon_reporting`, comparing the overall summary against specific reporting metrics to identify discrepancies.

Manage ad vendor lists with CrewAI.

Assign a 'Discovery Agent' role. This agent runs `list_mintegral_offers` and another specialized agent runs `list_topon_apps`. The crew collaborates to ensure that both vendors are fully documented. The resulting combined list can then be audited by a third 'Compliance Agent' to check for necessary metadata attached to each item.

Deep dive into ad placements using the MCP Server.

Assign an 'Analysis Agent' role. It first runs `list_topon_placements` to get all spots, and then passes that list to a second agent which calls `get_mintegral_app_stats`. This allows for targeted performance checks on every listed placement. The process can conclude by running `get_mintegral_reporting`, providing an aggregated view based on the initial discovery.

Setup guide

Set up TopOn / Mobvista MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke TopOn / Mobvista tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="TopOn / Mobvista Analyst",
    goal="Access and analyze TopOn / Mobvista data via MCP.",
    backstory="Expert analyst with direct TopOn / Mobvista access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent TopOn / Mobvista transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="TopOn / Mobvista Analyst",
        goal="Access and analyze TopOn / Mobvista data via MCP.",
        backstory="Expert analyst with direct TopOn / Mobvista access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent TopOn / Mobvista transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TopOn / Mobvista. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect TopOn / Mobvista now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about TopOn / Mobvista MCP in CrewAI

Assign one agent to run `get_topon_reporting`. Another agent can then follow up by calling `get_monetization_summary` to provide context. The crew’s shared memory links these two data streams for a unified report.

Use `list_topon_placements` as your first tool call. A subsequent agent can then use this list of placements to inform a more detailed analysis using the MCP Server's other tools.

Absolutely. You set up an 'Ops Agent' that runs `get_mintegral_reporting` and passes the resulting data structure to a second agent which then calls `list_mintegral_offers`, keeping the entire process autonomous.

Yes. You simply assign an 'Executive Agent' role and give it access to `get_monetization_summary`. It handles the retrieval of the high-level revenue data automatically.

The server touches monetization figures. When running reports, agents access and process performance reporting data—this is critical for understanding financial flows but requires proper handling.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript