How to Use the Dokku MCP in CrewAI
Deploy a specialized crew of agents to monitor and self-heal your Dokku apps without manual intervention.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Dokku MCP to CrewAI
Create your Vinkius account to connect Dokku 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.
Collaborative Dokku control for CrewAI
Assign one agent to `list_apps` while another handles `get_logs` for troubleshooting. Your crew works together to maintain system health. This division of labor ensures that monitoring never blocks deployment. One agent acts as the observer while the other executes the necessary fixes.
Automated app lifecycle in CrewAI
Use `create_app` to build new services and `destroy_app` to decommission them. Your agents manage the entire cluster state. They keep your infrastructure clean by removing unused containers. This reduces overhead and keeps your host running efficiently.
Environment management via CrewAI
Sync configuration across multiple apps using `set_config`. Your agents ensure every container has the correct credentials at all times. This prevents configuration drift across your services. The crew audits your current state with `list_config` and applies updates where necessary.
Set up Dokku MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Dokku tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Dokku Analyst",
goal="Access and analyze Dokku data via MCP.",
backstory="Expert analyst with direct Dokku access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Dokku transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Dokku Analyst",
goal="Access and analyze Dokku data via MCP.",
backstory="Expert analyst with direct Dokku access.",
tools=mcp_tools,
)
task = Task(
description="List recent Dokku transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dokku. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Dokku MCP in CrewAI
Use it with your favorite AI tools
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