How to Use the Codemagic MCP in CrewAI
Run autonomous multi-agent mobile release crews that trigger, monitor, and distribute Codemagic builds over MCP with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Codemagic MCP to CrewAI
Create your Vinkius account to connect Codemagic 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.
Coordinate multi-agent mobile deployments
The `start_build` tool allows your CrewAI release manager agent to initiate mobile compilations while other specialized agents monitor the progress. A dedicated QA agent can wait for the build to finish, ready to process the output files. This team-based approach mimics a human release squad. The coordinator agent triggers the build on Codemagic, and the QA agent takes over the moment the artifact becomes available.
Automate variable management across agent roles
The `add_variables_to_group` tool lets your CrewAI security agent update environment configurations without exposing raw keys to other agents in the crew. When a new release requires updated API endpoints, the security agent writes them directly to the Codemagic group. By segregating roles, you ensure that only the authorized security agent handles sensitive credentials. Other agents in your CrewAI setup continue their work without ever seeing the raw variables.
Deliver artifacts to QA agents autonomously
The `create_public_artifact_url` tool enables your distribution agent to generate public URLs for test builds and hand them off to external testing teams. The agent calls `get_artifact` to locate the compiled binary, then creates the public link instantly. This removes human bottlenecks from the QA loop. Your CrewAI agents manage the entire handoff, from checking build completion to posting the download link in your team's chat channels.
Set up Codemagic 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 Codemagic tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Codemagic Analyst",
goal="Access and analyze Codemagic data via MCP.",
backstory="Expert analyst with direct Codemagic access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Codemagic 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="Codemagic Analyst",
goal="Access and analyze Codemagic data via MCP.",
backstory="Expert analyst with direct Codemagic access.",
tools=mcp_tools,
)
task = Task(
description="List recent Codemagic 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 Codemagic. 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.
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60%
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Common questions about Codemagic MCP in CrewAI
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