How to Use the ChartMogul MCP in CrewAI

Q: Can my CrewAI agents analyze ChartMogul churn rates?

Yes. Assign a dedicated analyst agent to run getchurnrates and have it report findings to your team slack or email.

Deploy a team of specialized agents to manage your ChartMogul data with CrewAI.

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Connect ChartMogul MCP to CrewAI

Create your Vinkius account to connect ChartMogul 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.

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Setup ChartMogul with CrewAI

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Perplexity

Multi-agent SaaS analysis for CrewAI

Assign an analyst agent to monitor `get_mrr_history` while a support agent uses `get_customer_details` to resolve billing tickets. Your crew collaborates to solve complex tasks. Agents share memory, so your research agent can pass findings to the action agent. This creates a cohesive operation across your SaaS metrics.

Automated growth tracking with MCP Server

Set a moderator agent to watch `get_customer_count_history` and trigger alerts when growth trends shift. The server provides the data, and your crew handles the response. You configure the agents to act only when specific conditions are met. This removes the need for you to manually check your dashboards every morning.

Specialized roles for SaaS operations

Use `list_data_sources` to let your research agent verify your current integrations before running any analysis. Each agent performs only the task it is assigned. This role-based setup prevents agents from overstepping. You keep total control over what each crew member can access and modify.

Setup guide

Set up ChartMogul MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke ChartMogul tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="ChartMogul Analyst",
    goal="Access and analyze ChartMogul data via MCP.",
    backstory="Expert analyst with direct ChartMogul access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent ChartMogul transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="ChartMogul Analyst",
        goal="Access and analyze ChartMogul data via MCP.",
        backstory="Expert analyst with direct ChartMogul access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent ChartMogul transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ChartMogul. 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 ChartMogul MCP in CrewAI

Include the server URL in your agent configuration. The agents will automatically gain access to all 12 tools for their analysis tasks.

Yes. Assign a dedicated analyst agent to run `get_churn_rates` and have it report findings to your team slack or email.

It does. You can chain tools together so that one agent finishes a task before another begins, ensuring a logical flow.

We use encrypted transit for all server communication. Your SaaS records are sandboxed and never leak between agent sessions.

We strictly limit tool access to authorized agents only. Your sensitive customer subscription data is discarded immediately after the task completes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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