How to Use the CometChat MCP in CrewAI

Q: How do I add CometChat tools to my CrewAI agents?

Pass the Vinkius URL directly in the mcps list of your CrewAI Agent configuration. The framework auto-discovers all ten available tools.

Q: Can a CrewAI agent find specific users in CometChat?

Yes. The agent runs getuser or listusers to inspect specific profiles during its analysis tasks.

Q: How does CrewAI coordinate message history analysis in CometChat?

One agent retrieves history using listmessages, while another analyzes the text for trends, passing the results down the execution chain.

Q: Can CrewAI agents create private groups in CometChat?

Yes, agents can invoke creategroup with specific parameters to set up private channels during workflow execution.

Coordinate specialized CrewAI agent teams to monitor, moderate, and manage your CometChat channels autonomously.

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Connect CometChat MCP to CrewAI

Create your Vinkius account to connect CometChat 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 CometChat with CrewAI

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Autonomous Moderation Teams

Put a moderator agent on duty to keep your chat rooms clean. By using `list_messages`, your research agent monitors active channels for policy violations. If it flags a bad actor, it hands the task off to a supervisor agent. The supervisor agent then calls `deactivate_user` or `delete_user` to remove the offender. This multi-agent setup keeps your community safe without requiring constant human monitoring.

Collaborative Group Operations

Let your agents coordinate to set up project spaces. One agent can gather requirements from a client, while another uses `create_group` to establish the channel. They verify the setup together using `get_group_details`. The team then runs `list_users` to find matching team members and invites them. This cooperative approach ensures no manual configuration steps are skipped.

Smart Notification Routing via MCP Server

Instead of sending generic alerts, let your crew analyze where messages should go. An analyzer agent reads incoming telemetry, while a router agent uses `list_groups` to find the most relevant team channel. Once the correct channel is identified, the router agent calls `send_message` with a tailored summary. This keeps your team informed without spamming general channels.

Setup guide

Set up CometChat 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 CometChat tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius URL directly in the `mcps` list of your CrewAI Agent configuration. The framework auto-discovers all ten available tools.

Yes. The agent runs `get_user` or `list_users` to inspect specific profiles during its analysis tasks.

One agent retrieves history using `list_messages`, while another analyzes the text for trends, passing the results down the execution chain.

Yes, agents can invoke `create_group` with specific parameters to set up private channels during workflow execution.

The credentials are encrypted and stored inside Vinkius. Your CrewAI Python environment only communicates with the secure MCP server, keeping keys out of raw code.

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