Amplitude MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Amplitude through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"amplitude": {
"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 Amplitude, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Amplitude MCP Server
Connect your Amplitude account to your AI agent and seamlessly query behavioral data and product analytics using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Amplitude 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
- User Activity & Search — Search for specific users and track their detailed event stream to diagnose individual journeys
- Funnels & Conversions — Request step-by-step conversion funnels to identify where users drop off
- Retention — Generate day-over-day retention curves to understand how well features keep users engaged
- Segmentation — Query event counts and uniques over time to see clear adoption trends
- Cohorts — List your behavioral cohorts, view sizes, and request exports for further targeted analysis
- Active Users & Revenue — Instantly pull DAU/WAU/MAU and daily revenue metrics right into your workflow
The Amplitude 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 Amplitude to LangChain via MCP
Follow these steps to integrate the Amplitude 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 Amplitude via MCP
Why Use LangChain with the Amplitude MCP Server
LangChain provides unique advantages when paired with Amplitude through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Amplitude 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 Amplitude queries for multi-turn workflows
Amplitude + LangChain Use Cases
Practical scenarios where LangChain combined with the Amplitude MCP Server delivers measurable value.
RAG with live data: combine Amplitude tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Amplitude, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Amplitude tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Amplitude tool call, measure latency, and optimize your agent's performance
Amplitude MCP Tools for LangChain (10)
These 10 tools become available when you connect Amplitude to LangChain via MCP:
active_users
Start/End as YYYYMMDD. Get Amplitude daily/weekly/monthly active users (DAU/WAU/MAU)
event_segmentation
Pass event name, start/end as YYYYMMDD. Query Amplitude event segmentation
export_events
Amplitude is a product analytics platform. Pass start/end as YYYYMMDDTHH (e.g. 2026010100). Export raw Amplitude event data for a time range
get_cohort
Depending on the backend this may require polling until ready. Request an Amplitude cohort download
get_funnel
Pass comma-separated event names, start/end as YYYYMMDD. Query Amplitude funnel conversion
get_retention
Pass start_event (acquisition), return_event, start/end dates. Start/End should be YYYYMMDD. Query Amplitude retention
get_user_activity
Useful for diagnosing individual user journeys. Get Amplitude user activity stream
list_cohorts
Cohorts group users by behavior. List Amplitude behavioral cohorts
revenue_analysis
Start/End as YYYYMMDD. Get Amplitude revenue analysis by day
search_users
Useful to find specific users before checking their activity. Search Amplitude users by user ID, device ID, or email
Example Prompts for Amplitude in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Amplitude immediately.
"What's our funnel conversion from 'Landing_Page_View' to 'Sign_Up_Success' for the last 3 days?"
"Show the recent user activity for customer email@example.com"
"What is our Daily Active Users (DAU) count since start of the month?"
Troubleshooting Amplitude MCP Server with LangChain
Common issues when connecting Amplitude to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAmplitude + LangChain FAQ
Common questions about integrating Amplitude MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Amplitude 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 Amplitude to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.