How to Use the Matrix/Element MCP in CrewAI

Q: How do I add Matrix/Element capabilities to my CrewAI agents using an MCP Server?

Pass your Vinkius MCP Server URL directly into the mcps list when defining your CrewAI agent. This automatically exposes tools like sendmessage and createroom to that specific agent.

Deploy a crew of specialized CrewAI agents to route alerts and sync Matrix/Element communications via an MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Matrix/Element MCP to CrewAI

Create your Vinkius account to connect Matrix/Element 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.

GDPR Free for Subscribers

Setup Matrix/Element with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Assign specialized Matrix moderation tasks to a team of CrewAI agents

The `get_room_state` tool provides your CrewAI moderator agent with the current list of members, permissions, and power levels. This agent uses the MCP Server to analyze the room configuration and spot unauthorized changes. If the moderator agent detects an issue, it coordinates with an admin agent. The admin agent then uses `set_room_state` or `leave_room` to secure the channel, isolating threats without human intervention.

Route and escalate critical alerts across multiple rooms automatically

The `send_message` tool allows your notification agent to dispatch alerts to specific operational channels. In a CrewAI setup, a researcher agent identifies system anomalies and passes the raw data to the writer agent, which formats and sends the message. When a channel is closed or archived, the agent uses `leave_room` to clean up its active room list. This keeps your agent's workspace clean and prevents unnecessary background polling.

Automate user directory searches and room invites

The `search_user_directory` tool enables your onboarding agent to find specific team members on the homeserver. The agent runs this search based on natural language queries passed from other members of the crew. Once the user is found, the agent uses `join_room` or `knock_room` to bring them into the correct discussion space. This automates the setup of project-specific channels as soon as new tasks are created.

Setup guide

Set up Matrix/Element 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 Matrix/Element tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Matrix/Element 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 Matrix. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Matrix/Element now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Matrix/Element MCP in CrewAI

Pass your Vinkius MCP Server URL directly into the `mcps` list when defining your CrewAI agent. This automatically exposes tools like `send_message` and `create_room` to that specific agent.

Yes. By pointing your agents to the same Vinkius endpoint, they share the session state maintained by `sync_client`. This allows your crew to collaborate on the same rooms without authenticating separately.

The crew relies on the underlying MCP Server to handle E2EE operations via `upload_keys` and `query_keys`. Your agents can read and write encrypted messages without needing to implement custom cryptographic logic.

Use the SSE or Streamable HTTP transport provided by Vinkius. You can configure this in CrewAI using the `MCPServerHTTP` class to ensure stable long-lived connections for room synchronization.

Vinkius runs the server inside a zero-trust, ephemeral V8 container. This guarantees that your session tokens, room messages, and encryption keys are processed in isolation and wiped from memory when the container stops.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript