How to Use the Agility CMS MCP in CrewAI

Q: How do I configure Agility CMS with CrewAI?

Install crewaitools via pip. Add your Vinkius endpoint URL directly to the mcps list when defining your Agent. The framework automatically parses the available tools.

Q: Can a CrewAI agent access Agility CMS media galleries?

Yes. Assign the getmediagallery tool to a specific agent. That agent can pull photo mappings and pass the URLs to a separate vision-capable agent for image analysis.

Deploy autonomous CrewAI teams to monitor, sync, and audit your Agility CMS content architecture.

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Connect Agility CMS MCP to CrewAI

Create your Vinkius account to connect Agility CMS 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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Setup Agility CMS with CrewAI

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Coordinate Agility CMS MCP Server agents

`get_site_tree` feeds your research agent the entire nested sitemap architecture of a digital channel. That agent maps the hierarchy and stores it in shared memory. A secondary analyst agent then reviews that map for missing paths or broken structures. Flat routing lists give your crew exact URL targets. `get_site_flat_router` dumps all available pages. Your moderator agent can cross-reference this list against external analytics to find orphaned content, working autonomously without human intervention.

Audit reference lists autonomously

`list_content_items` allows a specialized auditing agent to pull down entire batches of blog posts or authors. The agent reads the headless CMS environment and checks each item against your brand guidelines. You get a final report of violations. Targeted searches happen through specialized roles. You assign `search_content_reference` to a data-gathering agent. It hunts for specific keywords across reference lists and passes the findings to a summarization agent down the sequence.

Monitor page updates sequentially

`sync_incremental_items` lets your monitor agent watch for new content. By tracking the sync token, the agent only wakes up when new items drop. It then alerts your team or triggers a downstream deployment. Page updates follow the same pattern. `sync_incremental_pages` grabs structural changes. You pass the Vinkius endpoint directly into your agent's mcps array, and CrewAI handles the HTTP transport behind the scenes.

Setup guide

Set up Agility CMS MCP in CrewAI

Prerequisites

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

1

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

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Agility CMS tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Agility CMS Analyst",
        goal="Access and analyze Agility CMS data via MCP.",
        backstory="Expert analyst with direct Agility CMS access.",
        tools=mcp_tools,
    )

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Agility CMS. 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 Agility CMS MCP in CrewAI

Install crewai[tools] via pip. Add your Vinkius endpoint URL directly to the mcps list when defining your Agent. The framework automatically parses the available tools.

Yes. Assign the get_media_gallery tool to a specific agent. That agent can pull photo mappings and pass the URLs to a separate vision-capable agent for image analysis.

Use MCPServerHTTP from crewai.mcp instead of the simple array setup. This lets you apply a tool_filter so your research agent only sees read operations while your action agent sees everything else.

You control the execution flow. By using sequential or hierarchical processes, your agents take turns calling the server. This prevents concurrent spikes against your endpoint.

Your media galleries and content reference lists never touch persistent storage. Vinkius routes your API token through a zero-trust, ephemeral sandbox. The connection dies the second your Python script finishes execution.

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