How to Use the Baremetrics MCP in CrewAI
Deploy autonomous financial analyst crews with CrewAI. Let your agents collaborate to monitor, analyze, and report on your Baremetrics data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Baremetrics MCP to CrewAI
Create your Vinkius account to connect Baremetrics to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Assemble a Financial Monitoring Crew
This server gives your CrewAI agents the tools they need to become a financial watchdog team. You can assign one agent the role of 'Metric Monitor,' responsible for periodically calling `get_mrr`, `get_churn_rate`, and `get_ltv`. Its findings are passed to a second agent, the 'Analyst.' The Analyst agent's job is to interpret the data. If it sees a spike in churn, it can use its own tools to investigate further, perhaps using `list_customers` to find patterns. A third 'Notifier' agent can then be tasked with summarizing the findings and alerting the human team.
Automate Customer Success Operations
Build a crew to manage customer interactions based on financial triggers. An agent can monitor subscriptions using `list_subscriptions`. When a high-value customer's subscription is about to renew or cancel, it can delegate a task to another agent. That second agent, the 'Customer Specialist,' could then use `get_customer` to pull the user's full details and prepare a summary for your account management team. CrewAI's role-based approach means each agent does one job well, leading to more reliable outcomes. This MCP server provides the core financial data they need to act.
Conduct In-Depth Business Audits
Your CrewAI team can perform deep audits of your Baremetrics account. A 'Researcher' agent can be tasked with mapping out your entire setup by calling `list_plans`, `list_sources`, and `list_metrics`. It catalogs everything it finds. This information is then passed to a 'Verification' agent. Its goal is to cross-reference the data, ensuring that plans are correctly configured and data sources are all reporting as expected. It's a powerful way to use an autonomous crew for internal compliance and health checks.
Set up Baremetrics MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Baremetrics tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Baremetrics Analyst",
goal="Access and analyze Baremetrics data via MCP.",
backstory="Expert analyst with direct Baremetrics access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Baremetrics transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Baremetrics Analyst",
goal="Access and analyze Baremetrics data via MCP.",
backstory="Expert analyst with direct Baremetrics access.",
tools=mcp_tools,
)
task = Task(
description="List recent Baremetrics transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Baremetrics. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Baremetrics MCP in CrewAI
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