How to Use the Rocket.Chat MCP in CrewAI

Q: Can CrewAI agents delete messages on Rocket.Chat?

Yes, agents can invoke chatdeletemessage to remove content if they are provided with both the room ID and message ID. You must ensure the bot account has administrative permissions in those rooms.

Deploy specialized teams of CrewAI agents to moderate channels and coordinate incidents directly inside Rocket.Chat using this MCP Server.

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Connect Rocket.Chat MCP to CrewAI

Create your Vinkius account to connect Rocket.Chat to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Rocket.Chat with CrewAI

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Multi-Agent Incident Coordination

The `chat_send_message` and `get_channel_info` tools enable your agent crews to coordinate complex incident responses in dedicated channels. One agent gathers the system diagnostic data while another posts status updates to the room. CrewAI coordinates these steps sequentially, passing the output of the diagnostic agent directly to the posting agent. This keeps your engineering team updated in real-time without manual copy-pasting.

Automated Directory Audits with CrewAI

The `list_users` and `get_user_info` tools allow specialized auditing agents to scan your workspace directory for inactive accounts. The agent checks profile details to flag users who match specific cleanup criteria. Because CrewAI supports shared memory, the auditor agent can pass its findings to a manager agent. The manager then decides whether to notify administrators or draft a summary report.

Active Channel Monitoring and Moderation

The `list_public_channels` tool gives your monitoring agents a complete view of all open discussion spaces in your workspace. The agent regularly pulls this list to identify new channels that require moderation. When combined with hierarchical execution, a supervisor agent can assign specific rooms to dedicated sub-agents. This ensures every channel has active coverage without overloading a single LLM context window.

Setup guide

Set up Rocket.Chat 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 Rocket.Chat tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your server endpoint URL directly into the agent configuration using the MCP parameter. For more control, you can import the HTTP server class and apply filters to expose only specific tools.

Yes, agents can invoke `chat_delete_message` to remove content if they are provided with both the room ID and message ID. You must ensure the bot account has administrative permissions in those rooms.

Agents use their built-in shared memory to pass details retrieved by `get_channel_info` to other team members. This allows one agent to inspect room settings and another to execute follow-up postings based on those settings.

This connection supports standard MCP transports including stdio, SSE, and HTTP depending on your hosting environment. Most production crews use the HTTP transport to communicate with the Vinkius managed gateway.

The MCP Server processes user IDs, message histories, and channel metadata inside a zero-trust, ephemeral sandbox. No data is stored, cached, or used for model training. All traffic is encrypted end-to-end between your crew's environment and the workspace.

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