How to Use the ContentStack (Management) MCP in CrewAI
Deploy a team of autonomous CrewAI agents to write, edit, and publish your ContentStack content.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ContentStack (Management) MCP to CrewAI
Create your Vinkius account to connect ContentStack (Management) 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 Content Production with CrewAI
Run an autonomous editorial team where agents use `get_content_type_details` to understand schemas and `create_entry` to save drafts. This system handles your entire publishing pipeline. Finally, a manager agent checks the publishing schedule, runs `list_environments` to find the correct target, and calls `publish_entry` to push the post live. This multi-agent coordination replaces manual copy-pasting and scheduling.
Automated Asset Management and Auditing
Your specialized media agent runs `list_assets` to inventory your files and find missing alt text. It flags assets that are no longer needed. It then coordinates with a writer agent to find the entries referencing those assets using `list_entries`. Once identified, the agent calls `update_entry` to update the metadata, keeping your media library clean and search-engine friendly.
Multi-Environment Content Migration via MCP Server
Migrating content schemas between spaces is simple when agents call `get_stack_info` and `list_content_types` to extract structural blueprints. They work together to map the entire configuration. A second agent acts as the deployer, analyzing the target stack and using the schema details to prepare the environment. They coordinate their tasks sequentially, ensuring no content is lost during the migration process.
Set up ContentStack (Management) 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 ContentStack (Management) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="ContentStack (Management) Analyst",
goal="Access and analyze ContentStack (Management) data via MCP.",
backstory="Expert analyst with direct ContentStack (Management) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent ContentStack (Management) 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="ContentStack (Management) Analyst",
goal="Access and analyze ContentStack (Management) data via MCP.",
backstory="Expert analyst with direct ContentStack (Management) access.",
tools=mcp_tools,
)
task = Task(
description="List recent ContentStack (Management) 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 ContentStack. 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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Common questions about ContentStack (Management) MCP in CrewAI
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