How do I find my GrowingIO Project ID and Client ID?

Log in to your GrowingIO portal, go to [Project Configuration] -> [Project Info]. You will find your Project ID (ai) and Client ID (Public Key) there.

Where do I generate the API Token?

In your GrowingIO portal, navigate to [Project Configuration] -> [API Token Management] to generate a long-term API Token for this server.

Can I query quantitative metrics through the agent?

Yes. Use the `get_metrics` tool with a JSON query definition. This allows your agent to retrieve specific data points like DAU, retention rates, or custom conversion metrics.

GrowingIO MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: GrowingIO
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GrowingIO through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "growingio": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using GrowingIO, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with GrowingIO through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the GrowingIO MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from GrowingIO via MCP

Why Use LangChain with the GrowingIO MCP Server

LangChain provides unique advantages when paired with GrowingIO through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine GrowingIO MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across GrowingIO queries for multi-turn workflows

GrowingIO + LangChain Use Cases

Practical scenarios where LangChain combined with the GrowingIO MCP Server delivers measurable value.

RAG with live data: combine GrowingIO tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query GrowingIO, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain GrowingIO tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every GrowingIO tool call, measure latency, and optimize your agent's performance

GrowingIO MCP Tools for LangChain (10)

These 10 tools become available when you connect GrowingIO to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting GrowingIO to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GrowingIO + LangChain FAQ

Common questions about integrating GrowingIO MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.