How to Use the Coassemble MCP in CrewAI

Deploy a specialized crew of agents to manage Coassemble training operations.

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Connect Coassemble MCP to CrewAI

Create your Vinkius account to connect Coassemble 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 Coassemble with CrewAI

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Coassemble operations managed by a CrewAI crew

Assign one agent to audit grades while another handles enrolments. Using `get_training_completion_results`, your audit agent generates reports on student performance. This collaborative approach lets you divide tasks. One agent finds the data, and the other takes action based on your specific rules.

Automated course administration with CrewAI

Use a specialized agent to keep your workspace clean. It calls `list_coassemble_courses` and `list_coassemble_groups` to map out active training paths. If the agent finds an outdated course, it flags it for review. This keeps your training catalog organized without you lifting a finger.

CrewAI agents for Coassemble member support

Create an agent that answers member inquiries about their groups. By calling `get_member_group_associations`, the agent provides accurate, up-to-date info. It removes the need for manual lookups. Your team spends less time checking records and more time creating content.

Setup guide

Set up Coassemble 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 Coassemble tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL into your agent's MCP list. Once defined, your crew gains the ability to execute the eight supported training management tools.

Yes, you can assign an agent to monitor sign-ups. When a new member is detected, the agent triggers the enrolment tool automatically.

You can restrict which agents have access to which tools. This ensures your research agent can only read data, while your admin agent handles enrolments.

Agents use shared memory to pass findings along. If one agent fetches course details, the next agent in your crew can use that info to enroll students.

All agent interactions are sandboxed. We manage access through a single secure endpoint token, ensuring your student grades and training records stay private during agent collaboration.

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