Modash MCP Server for AutoGen 11 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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 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.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
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.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Modash tools to solve complex tasks
Role-based architecture lets you assign Modash tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Modash tool calls
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.
Collaborative analysis: one agent queries Modash while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Modash, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Modash data to make informed decisions about resource distribution
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:
get_instagram_report
Get deep analytics for an Instagram profile
get_raw_profile
Get real-time, unfiltered profile data
get_tiktok_report
Get analytics for a TikTok profile
get_youtube_report
Get analytics for a YouTube channel
list_brands
Search for brand IDs
list_interests
Search for interest IDs
list_languages
Search for language IDs
list_locations
Search for location IDs
search_instagram
Search for Instagram influencers
search_tiktok
Search for TikTok influencers
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.
"Search for Instagram influencers with 50k-100k followers in London."
"Get an audience report for the TikTok user @traveler_vlog."
"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.
McpWorkbench not found
pip install "autogen-ext[mcp]"Modash + AutoGen FAQ
Common questions about integrating Modash MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Modash 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 Modash to AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
