Can I see the status of my dynos through my agent?

Yes. Use the `list_dynos` tool to see the real-time status of each container process (e.g. web.1, worker.1). You'll know exactly if a dyno is up, crashed, starting, or idle.

How do I check my application's environment variables?

The `list_config_vars` tool allows your agent to dump the full dictionary of environment variables injected into your dynos, including sensitive keys like DATABASE_URL or API tokens.

Can my agent restart a specific hung worker without affecting the web traffic?

Absolutely. Use the `restart_specific_dyno` tool to reboot a single instance (e.g. worker.2). This is perfect for unsticking hung asynchronous queue workers without impacting your primary frontend traffic.

Heroku (PaaS) MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Heroku (PaaS)
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 Heroku (PaaS) 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="heroku_paas_agent",
    instruction=(
        "You help users interact with Heroku (PaaS) "
        "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 Heroku (PaaS) MCP Server

Connect your Heroku account to any AI agent and take full control of your cloud-native application management and dyno orchestration through natural conversation.

Google ADK natively supports Heroku (PaaS) 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

App Management — List all hosted applications, create new deployment boundaries, and fetch intricate runtime constraints and framework details directly from your agent
Dyno Orchestration — List individual containerized dynos, track their status (up, crashed, idle), and selectively reboot specific instances or entire clusters
Environment & Config — Audit decrypted application environment variables (Config Vars) and retrieve third-party platform add-ons like Postgres or Redis
Operational Control — Rapidly toggle maintenance mode to block inbound requests during migrations and perform hard reboots on stalled application clusters
Infrastructure Audit — Identify underlying executing stacks (e.g. heroku-24), regional datacenter placements (US/EU), and total slug size in memory

The Heroku (PaaS) 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 Heroku (PaaS) to Google ADK via MCP

Follow these steps to integrate the Heroku (PaaS) 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 Heroku (PaaS) via MCP

Why Use Google ADK with the Heroku (PaaS) MCP Server

Google ADK provides unique advantages when paired with Heroku (PaaS) 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 Heroku (PaaS)

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 Heroku (PaaS) tools with BigQuery, Vertex AI, and Cloud Functions

Heroku (PaaS) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Heroku (PaaS) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Heroku (PaaS) and cross-reference results with internal databases for comprehensive analysis

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

Automated compliance checks: schedule ADK agents to query Heroku (PaaS) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Heroku (PaaS)

Heroku (PaaS) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Heroku (PaaS) to Google ADK via MCP:

create_app

Provision a fresh structural App container on Heroku

delete_app

Traffic routing instantly yields persistent 404/no web-dynos responses. Highly destructive. Permanently wipe an active App from Heroku servers

get_app_info

g. heroku-22, heroku-24). Confirms exact application routing URL mapping, total slug (code) size in memory, and regional datacenter placements (US or EU) verifying global latency strategies. Fetch intricate runtime constraints and framework details of an App

list_addons

Retrieve third-party Platform Add-ons mapping to an App

list_apps

Use this to discover App IDs, web URL designations, and git repository targets required to execute operational commands downstream. List all standard applications actively hosted on Heroku PaaS

list_config_vars

Retrieves highly confidential database tokens `DATABASE_URL`, SendGrid passwords, or OAuth keys. Dump decrypted Application Environment Variables

list_dynos

1, worker.1). Tracks exactly whether the dyno is "up", "crashed", "idle", or "starting" based on the internal slug runner engine's telemetry. List discrete containerized Dynos executing inside an App

restart_all_dynos

Often resolves ephemeral memory-leaks in Node.js or Ruby runtimes stalling standard request processing. Hard reboot all containers tied to an entire Application

restart_specific_dyno

Exceedingly useful for unsticking hung asynchronous queue workers without impacting active web traffic on the primary frontend replicas. Selectively reboot one isolated Dyno instance (e.g. worker.2)

toggle_maintenance_mode

Crucial for orchestrating complex sequential database migrations without encountering corrupted states from active sessions. Rapidly switch an Application's Maintenance Mode switch

Example Prompts for Heroku (PaaS) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Heroku (PaaS) immediately.

"List all my Heroku apps"

"Restart all dynos for 'production-api'"

"What's the current maintenance mode status for the 'staging-web' app?"

Troubleshooting Heroku (PaaS) MCP Server with Google ADK

Common issues when connecting Heroku (PaaS) to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Heroku (PaaS) + Google ADK FAQ

Common questions about integrating Heroku (PaaS) 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.