Heroku (PaaS) MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Heroku (PaaS) as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="heroku_paas_agent",
tools=tools,
system_message=(
"You help users with Heroku (PaaS). "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Heroku (PaaS) tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Heroku (PaaS) MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Heroku (PaaS) automatically
Why Use AutoGen with the Heroku (PaaS) MCP Server
AutoGen provides unique advantages when paired with Heroku (PaaS) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Heroku (PaaS) tools to solve complex tasks
Role-based architecture lets you assign Heroku (PaaS) tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Heroku (PaaS) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Heroku (PaaS) tool responses in an isolated environment
Heroku (PaaS) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Heroku (PaaS) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Heroku (PaaS) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Heroku (PaaS), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Heroku (PaaS) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Heroku (PaaS) responses in a sandboxed execution environment
Heroku (PaaS) MCP Tools for AutoGen (10)
These 10 tools become available when you connect Heroku (PaaS) to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Heroku (PaaS) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Heroku (PaaS) + AutoGen FAQ
Common questions about integrating Heroku (PaaS) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Heroku (PaaS) with your favorite client
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Heroku (PaaS) to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
