How do I securely obtain my API Key?

Installation in Pumble is unique. In your workspace, click **+ Add apps** in the left sidebar, find the **API** addon, and install it. After doing so, go to any chat input box in Pumble and type `/api-keys generate`. A private, ephemeral message will appear containing your secret token. Paste that token here.

Can my AI automatically reply to unread issues?

Yes. You can instruct your agent to regularly fetch messages from a specific channel (`chat_history_messages`). The agent can evaluate questions, generate answers based on your knowledge base, and then use `chat_post_message` to post the solution back to the team instantly.

Is it possible for the AI to react with emojis?

Absolutely. It uses the `chat_add_reaction` functionality. A common use case is having the agent process a batch of tickets reported in Pumble, and instruct it to leave a '✅' checkmark reaction on the original message to signify that work is complete.

What happens if a bot message has a typo?

Unlike standard webhooks, this integration provides full bidirectional control. If your AI posted something incorrect, simply ask it to update its previous message. It will fetch its message ID and push a new payload using the `chat_update_message` tool instantly without leaving double messages.

Pumble MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Pumble
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 Pumble as an MCP tool provider through 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="pumble_agent",
    instruction=(
        "You help users interact with Pumble "
        "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 Pumble MCP Server

Connect your Pumble workspace to any AI agent and bring powerful automation directly to your team's communication hub.

Google ADK natively supports Pumble as an MCP tool provider. declare 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

Read & Manage Channels — List all public and private channels, fetch detailed metadata, and dynamically create new discussion channels on the fly
Message Operations — Retrieve conversation histories, post new messages, update typos, or delete outdated announcements seamlessly
Interactive Reactions — Add emoji reactions to messages automatically to acknowledge requests without cluttering the chat
User Directory — List all workspace users and pull detailed profiles (including emails and time zones) to ensure accurate tagging

The Pumble 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 Pumble to Google ADK via MCP

Follow these steps to integrate the Pumble 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 Pumble via MCP

Why Use Google ADK with the Pumble MCP Server

Google ADK provides unique advantages when paired with Pumble 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 Pumble

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 Pumble tools with BigQuery, Vertex AI, and Cloud Functions

Pumble + Google ADK Use Cases

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

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

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

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

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

Pumble MCP Tools for Google ADK (10)

These 10 tools become available when you connect Pumble to Google ADK via MCP:

chat_add_reaction

Adds an emoji reaction to a message

chat_delete_message

This action is irreversible. Deletes a message from a Pumble channel

chat_history_messages

Retrieves recent messages from a channel

chat_post_message

Specify the channel ID and the message text. Sends a message to a Pumble channel

chat_update_message

Updates a pre-existing message

create_chat_channel

Specify name and whether it should be private. Creates a new communication channel

get_channel_info

Retrieves detailed information about a specific channel

get_user_info

Retrieves detailed information for a specific user

list_all_channels

Lists all public and private channels available in the workspace

list_workspace_users

Lists all users in the Pumble workspace

Example Prompts for Pumble in Google ADK

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

"List all our active channels in Pumble."

"Post a message in the #dev-updates channel stating that 'Deployment 2.1 is completed'."

"Read the last 3 messages from #marketing-q4 and react to the last one with a 'thumbsup'."

Troubleshooting Pumble MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Pumble + Google ADK FAQ

Common questions about integrating Pumble 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.