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 CrewAI 12 tools — connect in under 2 minutes

Name: Baremetrics
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Baremetrics through Vinkius, pass the Edge URL in the `mcps` parameter and every Baremetrics tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Baremetrics Specialist",
    goal="Help users interact with Baremetrics effectively",
    backstory=(
        "You are an expert at leveraging Baremetrics tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Baremetrics "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Baremetrics becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Baremetrics tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Baremetrics MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Baremetrics

Why Use CrewAI with the Baremetrics MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Baremetrics through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Baremetrics + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Baremetrics for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Baremetrics, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Baremetrics tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Baremetrics against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Baremetrics MCP Tools for CrewAI (12)

These 12 tools become available when you connect Baremetrics to CrewAI 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 CrewAI

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Baremetrics + CrewAI FAQ

Common questions about integrating Baremetrics MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.