Can the assistant create new channels or invite new users to the Rocket.Chat workspace?

No. This tool package is primarily focused on organic text-based communication, message manipulation (sending, modifying, deleting), and environment querying (listing what already exists). The generative capability to create workspace structural entities like 'new channels' or provisioning administrative user accounts is deactivated for baseline security in this module.

How does `chat_post_message` differ from `chat_send_message`?

`chat_send_message` uses a unique alphanumeric `Room ID` (e.g. 'cxyz123') to target an exact space unambiguously. Meanwhile, `chat_post_message` is designed to be human-readable, allowing your assistant to route messages to named destinations like '#general', '#dev-team', or directly to a user like '@johndoe'.

Can the AI edit or delete messages sent by other users?

Only if the authenticated account has the required admin or moderator permissions in the target channel. The AI inherits the same role-based restrictions as the user whose token is configured.

Rocket.Chat MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Rocket.Chat
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="rocketchat_agent",
    instruction=(
        "You help users interact with Rocket.Chat "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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 Rocket.Chat MCP Server

Connect your conversational assistant directly to Rocket.Chat, the open-source team communication platform. This integration transforms your AI into an active participant capable of chatting, sending notifications to channels, identifying active users, and auditing chat room data organically within your workspace.

Google ADK natively supports Rocket.Chat as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Communicate Actively — Instruct your assistant to post messages into public channels or private direct messages (chat_post_message, chat_send_message). Need to fix a typo? The AI can seamlessly edit (chat_update_message) or delete previous messages (chat_delete_message).
Explore Channels & Groups — Give your assistant vision over public discussions (list_public_channels) or private channels you belong to (list_private_groups). You can then extract deep information about specific rooms using get_channel_info.
Audit Users in the Network — Scan the entire user directory (list_users) to locate team members and review their roles and connection status directly (get_user_info).

The Rocket.Chat MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Rocket.Chat to Google ADK via MCP

Follow these steps to integrate the Rocket.Chat MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Rocket.Chat via MCP

Why Use Google ADK with the Rocket.Chat MCP Server

Google ADK provides unique advantages when paired with Rocket.Chat through the Model Context Protocol.

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

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Rocket.Chat

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

Seamless integration with Google Cloud services means you can combine Rocket.Chat tools with BigQuery, Vertex AI, and Cloud Functions

Rocket.Chat + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Rocket.Chat MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Rocket.Chat and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Rocket.Chat tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Rocket.Chat regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Rocket.Chat

Rocket.Chat MCP Tools for Google ADK (10)

These 10 tools become available when you connect Rocket.Chat to Google ADK via MCP:

chat_delete_message

You must provide both room ID and message ID. Deletes a message from a room

chat_post_message

Sends a message to a channel or user by name

chat_send_message

Sends a message to a specific room by ID

chat_update_message

Updates the text of an existing message

get_channel_info

Retrieves details for a specific channel

get_user_info

Retrieves detailed information for a specific user

list_direct_messages

Lists all active direct message rooms

list_private_groups

Lists all private groups (channels) the user is a member of

list_public_channels

Lists all public channels in the workspace

list_users

Lists all users in the workspace directory

Example Prompts for Rocket.Chat in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Rocket.Chat immediately.

"List all of my active direct messages."

"Send a welcome message to #general thanking the new members."

"Find and get the user info for the ID abCD123."

Troubleshooting Rocket.Chat MCP Server with Google ADK

Common issues when connecting Rocket.Chat to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Rocket.Chat + Google ADK FAQ

Common questions about integrating Rocket.Chat MCP Server with Google ADK.

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.

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.

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.