How to Use the Mariana Tek MCP in CrewAI

Q: Can I limit which Mariana Tek tools a CrewAI agent can access?

Yes, you can use the MCPServerHTTP class from crewai.mcp and apply a toolfilter. This prevents a research agent from accessing sensitive customer data via getcustomer.

Q: Is customer profile data safe when processed by CrewAI agents?

Absolutely. Customer profiles retrieved via getcustomer are processed entirely in-memory within your secure local environment. No member records are logged or saved to external storage.

Run autonomous agent teams to manage Mariana Tek class capacities and rosters using CrewAI.

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Connect Mariana Tek MCP to CrewAI

Create your Vinkius account to connect Mariana Tek 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 Mariana Tek with CrewAI

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Multi-agent studio monitoring with CrewAI

This Mariana Tek MCP Server lets you deploy a CrewAI team where one agent monitors class schedules via `list_classes` while another tracks instructor assignments. Running a boutique studio means keeping track of instructors, class types, and capacities all at once. The monitoring agent can pass data directly to an analyst agent to identify which instructors are drawing the biggest crowds. They coordinate using shared memory to keep your studio schedule optimized.

Autonomous roster management via MCP Server

This Mariana Tek MCP Server lets your agent crew handle the tedious work of cross-referencing reservations. Your coordinator agent can call `list_reservations` to pull the active signup sheet for an upcoming high-intensity class. If a popular class has a waitlist, a secondary agent uses `search_customers` to verify which waitlisted members have active packages. The agents collaborate to ensure high-value members get priority spots.

Specialized class and pricing analysis

This Mariana Tek MCP Server lets you stop manually digging through pricing options to see which packages sell best. One of your CrewAI agents can fetch active plans using `list_memberships` while another pulls class descriptions via `list_class_types`. By combining these datasets, your autonomous crew can draft a weekly report on which class formats generate the most membership conversions. The entire process runs in the background without manual intervention.

Setup guide

Set up Mariana Tek 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 Mariana Tek tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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

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

You can pass the Vinkius server URL directly into the agent's `mcps` parameter during initialization. This instantly exposes tools like `list_classes` to that specific agent.

Yes, you can use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter`. This prevents a research agent from accessing sensitive customer data via `get_customer`.

Agents utilize CrewAI's shared memory system to pass outputs. For example, an agent that calls `list_locations` can share the location ID with another agent executing `list_instructors`.

Yes, it does. You can set up a hierarchical crew where a manager agent decides when to call `list_pricing` based on the tasks assigned to subordinate agents.

Absolutely. Customer profiles retrieved via `get_customer` are processed entirely in-memory within your secure local environment. No member records are logged or saved to external storage.

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