How to Use the Gmelius MCP in CrewAI

Q: How do I monitor Gmelius in CrewAI?

You can add a monitor agent that periodically calls checkgmeliusstatus. It will alert you if the connection to your inbox is lost.

Q: Can CrewAI use Gmelius templates for autonomous replies?

Yes. By using listgmeliustemplates, your agents can select the correct template for any situation they encounter in the shared inbox.

Deploy specialized agents in CrewAI to manage your Gmelius shared inbox and automate team operations.

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Connect Gmelius MCP to CrewAI

Create your Vinkius account to connect Gmelius 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 Gmelius with CrewAI

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Multi-agent Gmelius coordination in CrewAI

Assign one agent to watch for new emails and another to organize them. The first agent calls `list_gmelius_conversations` to find new threads, while the second uses `create_gmelius_card` to assign them to the right team members. This division of labor keeps your inbox clean. Each agent operates within its specialized role to ensure consistent sorting.

Autonomous board management in CrewAI

Have your agents audit your Kanban boards periodically. By running `list_gmelius_boards` and `list_gmelius_board_cards`, the agents identify stale tasks and move them to the appropriate columns. Your team avoids the clutter of unmanaged boards. The agents handle the cleanup so you don't have to manually drag cards around.

Template-driven responses in CrewAI

Equip your response agents with the right messaging. They fetch approved templates via `list_gmelius_templates` and draft replies based on the context found in `get_gmelius_conversation`. This keeps your communication on-brand across the entire team. The agents handle the drafting, and you simply review the final output.

Setup guide

Set up Gmelius 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 Gmelius tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

They can. You can set up a crew where one agent researches the email and another agent creates the card in Gmelius.

It does. You can restrict which agents have access to tools like `create_gmelius_card` to ensure only the right agents make changes.

You can add a monitor agent that periodically calls `check_gmelius_status`. It will alert you if the connection to your inbox is lost.

Yes. By using `list_gmelius_templates`, your agents can select the correct template for any situation they encounter in the shared inbox.

The server only touches your board and conversation metadata. All data remains within your controlled environment and is never logged by the provider.

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