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Matrix/Element MCP Server for Google ADKGive Google ADK instant access to 19 tools to Change Password, Claim Keys, Create Room, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Matrix/Element as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Matrix/Element MCP Server for Google ADK is a standout in the Communication Messaging category — giving your AI agent 19 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="matrixelement_agent",
    instruction=(
        "You help users interact with Matrix/Element "
        "using 19 available tools."
    ),
    tools=[mcp_tools],
)
Matrix/Element
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Matrix/Element MCP Server

Connect your Matrix account to any AI agent and take full control of your decentralized communications through natural conversation.

Google ADK natively supports Matrix/Element as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 19 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Room Management — Create, join, knock, or leave rooms using simple commands like create_room and join_room.
  • Messaging & Events — Send messages or custom events to any room with transaction tracking via send_message.
  • State Synchronization — Use sync_client to fetch the latest state from the homeserver and stay updated on all conversations.
  • User Discovery — Search the global user directory using search_user_directory to find and connect with others.
  • Account Control — Manage your profile, change passwords, or handle account registration and deactivation.
  • Encryption & Keys — Handle cryptographic keys (upload_keys, query_keys) for secure, end-to-end encrypted communication.

The Matrix/Element MCP Server exposes 19 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 19 Matrix/Element tools available for Google ADK

When Google ADK connects to Matrix/Element through Vinkius, your AI agent gets direct access to every tool listed below — spanning matrix, element, chat, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

change

Change password on Matrix/Element

Change the account password

claim

Claim keys on Matrix/Element

Claim E2EE keys from the homeserver

create

Create room on Matrix/Element

Create a new Matrix room

deactivate

Deactivate account on Matrix/Element

Deactivate the current Matrix account

download

Download media on Matrix/Element

Download media from the homeserver

get

Get room state on Matrix/Element

Get state events for a room

join

Join room on Matrix/Element

Join a Matrix room by ID or alias

knock

Knock room on Matrix/Element

Knock on a Matrix room to request access

leave

Leave room on Matrix/Element

Leave a Matrix room

login

Login account on Matrix/Element

Log in to a Matrix account

logout

Logout account on Matrix/Element

Log out of the current Matrix account

query

Query keys on Matrix/Element

Query E2EE keys from the homeserver

register

Register account on Matrix/Element

Register a new Matrix account

search

Search user directory on Matrix/Element

Search the user directory

send

Send message on Matrix/Element

Send a message or event to a Matrix room

set

Set room state on Matrix/Element

Set state events for a room

sync

Sync client on Matrix/Element

Synchronize client state with the homeserver

upload

Upload keys on Matrix/Element

Upload E2EE keys to the homeserver

upload

Upload media on Matrix/Element

Upload media to the homeserver

Connect Matrix/Element to Google ADK via MCP

Follow these steps to wire Matrix/Element into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 19 tools from Matrix/Element via MCP

Why Use Google ADK with the Matrix/Element MCP Server

Google ADK provides unique advantages when paired with Matrix/Element through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Matrix/Element

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Matrix/Element tools with BigQuery, Vertex AI, and Cloud Functions

Matrix/Element + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Matrix/Element MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Matrix/Element and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Matrix/Element tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Matrix/Element regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Matrix/Element

Example Prompts for Matrix/Element in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Matrix/Element immediately.

01

"Sync my Matrix client to see if I have any new notifications."

02

"Send a message to room !abc:matrix.org saying 'The deployment is complete'."

03

"Search the user directory for 'bob'."

Troubleshooting Matrix/Element MCP Server with Google ADK

Common issues when connecting Matrix/Element to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Matrix/Element + Google ADK FAQ

Common questions about integrating Matrix/Element MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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