How to Use the Momence MCP in CrewAI

Q: How do I limit tool access in CrewAI for Momence?

You can use the toolfilter option to restrict specific agents to only the tools they need. This keeps your studio management secure and focused.

Deploy autonomous agent teams to manage your studio with CrewAI and the Momence MCP Server.

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…and any MCP-compatible client

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Connect Momence MCP to CrewAI

Create your Vinkius account to connect Momence 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 Momence with CrewAI

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Multi-agent coordination with CrewAI

Assign specialized agents to different studio tasks. One agent monitors `list_sessions` for capacity, while another agent uses `list_teachers` to manage instructor assignments. They work as a team. You get a coordinated system that manages your daily operations without you needing to intervene in every small decision.

Autonomous member support crews

Let your agents handle member queries by querying `search_members` and `list_memberships`. Your agents identify issues and resolve them based on the member's specific history. It frees up your front desk. Your crew handles the routine questions, leaving your staff to focus on the members who are actually in the studio.

Shared memory for studio agents

Use CrewAI memory to keep track of previous `list_bookings` results across different agents. This prevents redundant calls and ensures your agents have the full context of the day. Your agents remember the state of the studio. This intelligence allows them to make better decisions about class schedules and resource allocation.

Setup guide

Set up Momence 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 Momence tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Momence 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 Momence. 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 Momence MCP in CrewAI

Pass the server URL into the mcps list within your Agent configuration. Your agents will automatically gain access to all ten studio management tools.

Yes. You can have a research agent and an action agent working simultaneously, sharing the same Momence data to get tasks done faster.

You can use the tool_filter option to restrict specific agents to only the tools they need. This keeps your studio management secure and focused.

It does. The server provides the necessary endpoints for your agents to execute tasks autonomously without needing constant human prompts.

Your studio data, including member visit records and contact info, is never shared. The server architecture ensures that sensitive information stays inside your local crew environment.

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