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How to Use the Heroku (PaaS) MCP in CrewAI

Deploy autonomous agent crews to manage your Heroku fleet. Let a Monitor agent watch for crashes and a DevOps agent fix them.

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Connect Heroku (PaaS) MCP to CrewAI

Create your Vinkius account to connect Heroku (PaaS) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Create a Heroku Operations Crew

With CrewAI, you assign roles. Create a 'Monitor' agent that constantly runs `list_apps` and then `list_dynos` for each app, watching for any that enter a 'crashed' state. When the Monitor spots a problem, it passes the app ID to a 'DevOps' agent. This second agent's only job is to take that ID and execute `restart_all_dynos` or `restart_specific_dyno` to resolve the issue. The two agents work together, autonomously.

Automated Security Audits

Set up a crew to perform continuous security checks. An 'Auditor' agent can periodically use `list_config_vars` on all production apps to check for missing secrets or keys that need rotation. If the Auditor finds an issue, it tasks a 'Compliance' agent to document it. This MCP server provides the specific tools for a specialized crew to enforce security policy 24/7.

Self-Provisioning Environments

A developer can ask a 'Provisioner' agent to 'create a new staging app for the frontend repo.' The agent uses `create_app` from this MCP server to build the shell. Once created, it passes the new app's info to a 'Configurator' agent. This agent then uses `list_config_vars` from the main production app and sets a sanitized version on the new staging app. The whole process is handled by the crew.

Setup guide

Set up Heroku (PaaS) MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Heroku (PaaS) tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Heroku (PaaS) Analyst",
    goal="Access and analyze Heroku (PaaS) data via MCP.",
    backstory="Expert analyst with direct Heroku (PaaS) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Heroku (PaaS) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Common questions about Heroku (PaaS) MCP in CrewAI

Create a Monitor agent in your crew. Give it the `list_apps` and `list_dynos` tools. Its task is to periodically check all dynos and report any with a 'crashed' status to another agent for action.
Absolutely. Assign a 'Coordinator' agent the `toggle_maintenance_mode` tool. A 'DBA' agent would run the migration script. The Coordinator enables maintenance, tells the DBA to run, waits for confirmation, then disables maintenance on your Heroku (PaaS) app.
Yes, that's the core concept of CrewAI. One agent uses `list_dynos` to find a hung worker dyno on a Heroku (PaaS) app. It then passes the app and dyno name to a 'Fixer' agent, whose only tool is `restart_specific_dyno`.
You pass the Vinkius MCP endpoint URL into the `mcps` parameter when defining your Agent in CrewAI. You can use `tool_filter` to give different agents in the same crew access to different subsets of tools, enforcing role separation.
When an agent in your crew uses `list_config_vars`, secrets like `DATABASE_URL` are loaded into that agent's context and potentially the crew's shared memory. Since CrewAI runs on your infrastructure, you are responsible for securing the execution environment and logs.

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