How to Use the MOBIDI MCP in AutoGen

Q: Can AutoGen agents create new ad campaigns using MOBIDI?

Yes. An agent can gather targeting parameters and invoke createrecord to launch a new campaign once the group chat approves the budget.

Q: Does this server support parallel tool execution in AutoGen?

Yes. Multiple agents can query different tools like listreports and listrecords simultaneously, speeding up your overall campaign analysis.

Let AutoGen agents debate and optimize your mobile ad budgets using real-time campaign tools.

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Connect MOBIDI MCP to AutoGen

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

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Setup MOBIDI with AutoGen

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Multi-agent debate for mobile ad bidding

Setting bid budgets should not be left to a single prompt. With this MCP Server, you can set up an AutoGen debate where a performance agent checks metrics using `execute_report` and a budget agent verifies constraints. They negotiate before taking action. Once they agree on the best path, they use `update_record` to apply the new bidding parameters. This consensus-driven approach prevents erratic budget spikes and keeps your campaign spend in check.

Manage MOBIDI campaign databases with AutoGen

Keeping track of mobile ad campaigns requires constant monitoring. This MCP Server lets your supervisor agent check the overall health of your setup using `check_mobidi_status` and count active campaigns with `get_record_count`. If the system detects outdated configurations, a cleanup agent can run `delete_record` after getting approval from the supervisor. This keeps your production database lean and prevents downstream reporting errors.

Discover services and entities dynamically

Your agents do not need hardcoded schemas to navigate your ad accounts. They can use MCP tools like `get_services` to see what systems are active and run `list_entity_types` to understand the data structure of your campaigns. When a specific campaign needs attention, an agent pulls its details using `get_record_by_id` or searches broader lists with `list_records`. This allows your agent team to discover and troubleshoot issues independently.

Setup guide

Set up MOBIDI MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes MOBIDI tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="MOBIDI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent MOBIDI data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="MOBIDI_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent MOBIDI data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MOBIDI. 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.

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Common questions about MOBIDI MCP in AutoGen

They debate using their configured system prompts. One agent might analyze performance via `execute_report`, while another checks limits, converging before calling `update_record`.

Load the tools using the MCP extension, then register them to the specific agents in your group. The adapter handles schema conversion automatically.

Yes. An agent can gather targeting parameters and invoke `create_record` to launch a new campaign once the group chat approves the budget.

Yes. Multiple agents can query different tools like `list_reports` and `list_records` simultaneously, speeding up your overall campaign analysis.

All API calls and campaign records run through ephemeral, sandboxed connections. Your credentials and app install performance metrics are never exposed to external networks.

Use it with your favorite AI tools

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