Bring Paas
to Google ADK
Create your Vinkius account to connect Heroku (PaaS) to Google ADK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Heroku API Key
- Start managing your cloud infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps Engineers — monitor dyno health and perform rolling restarts or cluster reboots through natural conversation
- Backend Developers — check environment variables, add-on statuses, and deployment regions without leaving your IDE or switching to the dashboard
- System Admins — manage maintenance windows and application lifecycles across multiple environments and regions efficiently
Built-in capabilities (10)
Provision a fresh structural App container on Heroku
Traffic routing instantly yields persistent 404/no web-dynos responses. Highly destructive. Permanently wipe an active App from Heroku servers
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
Retrieve third-party Platform Add-ons mapping to an App
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
Retrieves highly confidential database tokens `DATABASE_URL`, SendGrid passwords, or OAuth keys. Dump decrypted Application Environment Variables
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
Often resolves ephemeral memory-leaks in Node.js or Ruby runtimes stalling standard request processing. Hard reboot all containers tied to an entire Application
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)
Crucial for orchestrating complex sequential database migrations without encountering corrupted states from active sessions. Rapidly switch an Application's Maintenance Mode switch
Why Google ADK?
Google ADK natively supports Heroku (PaaS) 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.
- —
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) in Google ADK
Why run Heroku (PaaS) with Vinkius?
The Heroku (PaaS) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Heroku (PaaS) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Heroku (PaaS) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Heroku (PaaS) to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Heroku (PaaS) for Google ADK
Every request between Google ADK and Heroku (PaaS) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
Explore More MCP Servers
View all →
LlamaIndex (AI Data Framework & RAG)
6 toolsQuery and manage RAG pipelines via LlamaIndex — execute natural language searches, audit indexed files, and monitor data pipelines.
USAspending (Federal Spending)
32 toolsAnalyze US federal spending data — query agency budgets, track awards, and explore geographic spending patterns directly from your AI agent.
ShipStation
28 toolsAutomate shipping and order management via ShipStation — manage carriers, create labels, and track orders directly from any AI agent.
Flowise
7 toolsManage low-code AI workflows via Flowise — run predictions, track chatflows and agentflows, handle tools, and audit execution history directly from any AI agent.