GrowingIO MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GrowingIO 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="growingio_agent",
tools=tools,
system_message=(
"You help users with GrowingIO. "
"10 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 GrowingIO MCP Server
Empower your AI agent to orchestrate your product analytics and user behavioral data with GrowingIO, the premier analytical platform in China. By connecting GrowingIO to your agent, you transform complex event tracking, user segmentation, and metric analysis into a natural conversation. Your agent can instantly list tracked events, retrieve detailed user segment metadata, monitor conversion funnels, and execute quantitative metric queries without you ever needing to navigate the comprehensive GrowingIO web interface. Whether you are conducting a product health audit or monitoring real-time campaign performance, your agent acts as a real-time data analyst assistant, keeping your product data accurate and your growth moving.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GrowingIO tools. Connect 10 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
- Event Orchestration — List and retrieve detailed metadata for all tracked behavioral events in your project.
- User Segmentation — Browse and monitor user segments to identify high-value cohorts and behavioral patterns.
- Metric Querying — Execute quantitative queries to retrieve specific performance metrics via natural language.
- Funnel Auditing — Retrieve detailed configuration and data for conversion funnels to identify drop-off points.
- Campaign Insights — Browse tracked advertising campaigns and identify successful growth drivers.
The GrowingIO MCP Server exposes 10 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 GrowingIO to AutoGen via MCP
Follow these steps to integrate the GrowingIO 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 10 tools from GrowingIO automatically
Why Use AutoGen with the GrowingIO MCP Server
AutoGen provides unique advantages when paired with GrowingIO through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GrowingIO tools to solve complex tasks
Role-based architecture lets you assign GrowingIO 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 GrowingIO tool calls
Code execution sandbox: AutoGen agents can write and run code that processes GrowingIO tool responses in an isolated environment
GrowingIO + AutoGen Use Cases
Practical scenarios where AutoGen combined with the GrowingIO MCP Server delivers measurable value.
Collaborative analysis: one agent queries GrowingIO while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from GrowingIO, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using GrowingIO data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process GrowingIO responses in a sandboxed execution environment
GrowingIO MCP Tools for AutoGen (10)
These 10 tools become available when you connect GrowingIO to AutoGen via MCP:
get_event
Get event details
get_funnel
Get conversion funnel details
get_metrics
Query project metrics
get_project_info
Get project metadata
get_segment_users
Get users in a segment
list_ads
List advertising campaigns
list_events
List project events
list_log_sources
). List data log sources
list_segments
List user segments
list_variables
List tracked variables
Example Prompts for GrowingIO in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with GrowingIO immediately.
"List all user segments in GrowingIO."
"Show me the conversion funnel for 'Checkout Flow'."
"Query the DAU for the last 7 days."
Troubleshooting GrowingIO MCP Server with AutoGen
Common issues when connecting GrowingIO to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"GrowingIO + AutoGen FAQ
Common questions about integrating GrowingIO 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 GrowingIO 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 GrowingIO to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
