Can I check my current MRR through the agent?

Yes. Use the `get_mrr` tool to retrieve your current Monthly Recurring Revenue. Your agent will return the latest calculated value directly in the chat.

How do I find a specific customer's subscription history?

First, use `list_customers` with a search term to find the customer's OID. Then, your agent can retrieve their detailed profile and subscription logs to summarize their journey.

Can the agent analyze churn rates for specific periods?

Absolutely. Use the `get_churn_rate` tool and provide a `start_date` and `end_date` (as Unix timestamps) to see the churn metrics for that specific timeframe.

Baremetrics MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Baremetrics
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Baremetrics 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({
        "baremetrics": {
            "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 Baremetrics, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 Baremetrics MCP Server

Unlock the pulse of your subscription business with Baremetrics, the leading financial analytics platform for SaaS. By connecting Baremetrics to your AI agent, you transform complex revenue data into a natural conversation. Your agent can instantly retrieve high-level metrics like MRR (Monthly Recurring Revenue), LTV (Lifetime Value), and churn rates, or dive deep into specific customer subscription histories without you ever navigating through dense financial dashboards. Whether you're preparing a board report or auditing customer health, your agent acts as a real-time CFO, ensuring your growth data is always accessible and actionable.

LangChain's ecosystem of 500+ components combines seamlessly with Baremetrics through native MCP adapters. Connect 12 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

Financial Auditing — Retrieve instant summaries of core SaaS metrics including MRR, ARR, LTV, and active customer counts via natural language.
Customer Oversight — List and search for specific customers, auditing their internal IDs, profile details, and subscription status.
Subscription Tracking — Access detailed logs of user subscriptions to identify upgrade patterns or potential churn risks.
Source Management — List all available data sources and defined plans to map your entire billing ecosystem.
Custom Timeframes — Query financial metrics for specific date ranges to analyze growth trends and seasonal performance.

The Baremetrics MCP Server exposes 12 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 Baremetrics to LangChain via MCP

Follow these steps to integrate the Baremetrics 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 12 tools from Baremetrics via MCP

Why Use LangChain with the Baremetrics MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Baremetrics 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 Baremetrics queries for multi-turn workflows

Baremetrics + LangChain Use Cases

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

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

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

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

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

Baremetrics MCP Tools for LangChain (12)

These 12 tools become available when you connect Baremetrics to LangChain via MCP:

get_account_check

Verify Baremetrics connection

get_active_customers

Convenience tool to get active customer count

get_churn_rate

Convenience tool to get user churn rate

get_customer

Get details for a specific customer

get_ltv

Convenience tool to get Customer Lifetime Value (LTV)

get_metric

Get specific data for a single metric type

get_mrr

Convenience tool to get Monthly Recurring Revenue (MRR)

list_customers

List all customers in Baremetrics

list_metrics

List high-level financial metrics summary

list_plans

List all defined plans

list_sources

List all available data sources

list_subscriptions

List all user subscriptions

Example Prompts for Baremetrics in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Baremetrics immediately.

"What is my current Monthly Recurring Revenue (MRR)?"

"Show me the top 5 customers by LTV."

"Search for a customer named 'John Smith' and show their active subscriptions."

Troubleshooting Baremetrics MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Baremetrics + LangChain FAQ

Common questions about integrating Baremetrics 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.