How to Use the Outseta MCP in CrewAI

Deploy a specialized CrewAI agent team to manage your SaaS operations autonomously.

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Connect Outseta MCP to CrewAI

Create your Vinkius account to connect Outseta 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 Outseta with CrewAI

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Autonomous monitoring with CrewAI

Assign a dedicated agent to poll `list_subscriptions` periodically. This agent can notify your team when a renewal fails. This keeps your operations running 24/7. The agent acts on the data without needing your manual input.

Role-based CRM management

Use a specialized agent to update records using `get_person` and `create_person`. Other agents focus on analysis while this one handles the data. This specialization makes your crew more efficient. Each agent only has access to the tools it needs to perform its specific task.

Ticket triage and routing

Let a moderator agent call `list_tickets` to categorize incoming issues. It then assigns the ticket to the correct department based on the content. This clears your backlog fast. The crew works through the queue, using the tools to perform the necessary actions on your behalf.

Setup guide

Set up Outseta 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 Outseta tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Outseta 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="Outseta Analyst",
        goal="Access and analyze Outseta data via MCP.",
        backstory="Expert analyst with direct Outseta access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Outseta 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 →

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