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Vinkius

Modash MCP Server for AutoGen 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Modash as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="modash_agent",
            tools=tools,
            system_message=(
                "You help users with Modash. "
                "11 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Modash
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About Modash MCP Server

Connect Modash to your AI agent to discover the perfect creators for your brand. Access a database of 350M+ influencers and get deep audience analytics through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Modash tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

  • Influencer Search — Find creators based on followers, engagement rate, and location across major platforms.
  • Audience Analytics — Get detailed reports on audience demographics, location, and authenticity.
  • Platform Coverage — Seamlessly switch between Instagram, TikTok, and YouTube research.
  • Dictionary Access — Easily find IDs for locations, interests, and brands to refine your searches.
  • Real-time Data — Fetch the latest metrics and posts directly from influencer profiles.

The Modash MCP Server exposes 11 tools through the Vinkius. Connect it to AutoGen 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 Modash to AutoGen via MCP

Follow these steps to integrate the Modash MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 11 tools from Modash automatically

Why Use AutoGen with the Modash MCP Server

AutoGen provides unique advantages when paired with Modash through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Modash tools to solve complex tasks

02

Role-based architecture lets you assign Modash tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Modash tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Modash tool responses in an isolated environment

Modash + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Modash MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Modash while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Modash, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Modash data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Modash responses in a sandboxed execution environment

Modash MCP Tools for AutoGen (11)

These 11 tools become available when you connect Modash to AutoGen via MCP:

01

get_instagram_report

Get deep analytics for an Instagram profile

02

get_raw_profile

Get real-time, unfiltered profile data

03

get_tiktok_report

Get analytics for a TikTok profile

04

get_youtube_report

Get analytics for a YouTube channel

05

list_brands

Search for brand IDs

06

list_interests

Search for interest IDs

07

list_languages

Search for language IDs

08

list_locations

Search for location IDs

09

search_instagram

Search for Instagram influencers

10

search_tiktok

Search for TikTok influencers

11

search_youtube

Search for YouTube channels

Example Prompts for Modash in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Modash immediately.

01

"Search for Instagram influencers with 50k-100k followers in London."

02

"Get an audience report for the TikTok user @traveler_vlog."

03

"List all interest categories available for YouTube search."

Troubleshooting Modash MCP Server with AutoGen

Common issues when connecting Modash to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Modash + AutoGen FAQ

Common questions about integrating Modash MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Modash tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Modash to AutoGen

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.