How to Use the Modash MCP in AutoGen

Build multi-agent AutoGen teams that debate, vet, and select the best creators using this Modash MCP Server.

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Connect Modash MCP to AutoGen

Create your Vinkius account to connect Modash 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 Modash with AutoGen

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Consensus-driven creator vetting with AutoGen

The `search_instagram` and `get_instagram_report` tools give your AutoGen agents the data they need to discover and vet creators collaboratively. One agent runs the search while another audits them to flag suspicious follower growth. The agents debate the merits of each creator in a shared conversation, only presenting you with candidates that pass their combined checklist.

Cross-platform channel comparison

The `get_youtube_report` and `get_tiktok_report` tools supply cross-platform performance metrics to your AutoGen conversation. A specialized analyst agent can then weigh the engagement rates against your campaign goals. This collaborative AutoGen approach ensures you allocate your budget to the platform with the highest verified return.

Automated brand alignment checks

The `list_brands` and `get_raw_profile` tools provide past partnership and profile data for your AutoGen brand safety agents. If an agent detects a conflict of interest, it flags the issue in the conversation. The AutoGen team then collaborates to find alternative creators who match your brand criteria.

Setup guide

Set up Modash 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 Modash 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="Modash_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Modash 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="Modash_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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 Modash. 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 Modash MCP in AutoGen

Use the autogen-ext package to load the tools from the server URL. You can then pass the resulting tool list directly into your AutoGen AssistantAgent constructor.

Yes. You can set up an AutoGen conversation where one agent uses `get_youtube_report` to argue for video spend, while another uses TikTok metrics to lobby for short-form content.

The server handles concurrent requests smoothly. Your AutoGen agents can trigger `search_tiktok` and `search_instagram` at the same time to gather cross-platform data quickly.

Yes. AutoGen agents maintain the history of past tool executions, meaning they won't repeatedly run `get_raw_profile` on the same creator during a single session.

All social profile metrics and audience data are processed in Vinkius's secure, ephemeral V8 sandboxes. Your API credentials and session data are isolated and never saved.

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