How to Use the Flotiq MCP in CrewAI

Q: How do I search Flotiq content in CrewAI?

You include searchglobalcontent in your agent's tool list. The crew then performs searches whenever the task requires external CMS knowledge.

Q: Can CrewAI agents update Flotiq objects?

Yes, by providing patchcmsobject as a tool, your agents can update existing records. You can define specific agents that have this write access.

Q: Does CrewAI support Flotiq media assets?

You can provide listmediaassets so your agents can manage media. This is useful for crews tasked with organizing or cleaning up your asset library.

Q: How do I check Flotiq limits with CrewAI?

Use gettenantlimits as part of a supervisory agent's task list. It keeps the crew informed about their current operational capacity.

Deploy autonomous content crews with CrewAI by linking your Flotiq CMS to specialized research and management agents.

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Connect Flotiq MCP to CrewAI

Create your Vinkius account to connect Flotiq 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 Flotiq with CrewAI

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Autonomous content auditing for CrewAI

Assign a monitor agent to watch your CMS. It uses `list_content_objects` to scan for outdated records or missing metadata across your entire project. If it finds a discrepancy, it flags the issue for the rest of the crew. You get a self-maintaining content repository.

Multi-agent content generation in CrewAI

Let your research agent gather data and your writer agent finalize it. Both agents use `create_cms_object` to commit the final work to Flotiq. This creates a closed-loop system. Your agents handle the entire lifecycle from initial research to published record.

Cross-reference CMS data in CrewAI

Use `get_content_details` to give your agents context for their tasks. They can pull specific object information to inform their decision-making process. This ensures that every action taken by the crew is based on accurate, real-time data from your CMS. Your operations remain consistent and informed.

Setup guide

Set up Flotiq 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 Flotiq tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Flotiq 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="Flotiq Analyst",
        goal="Access and analyze Flotiq data via MCP.",
        backstory="Expert analyst with direct Flotiq access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Flotiq 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 Flotiq. 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 Flotiq MCP in CrewAI

You include `search_global_content` in your agent's tool list. The crew then performs searches whenever the task requires external CMS knowledge.

Yes, by providing `patch_cms_object` as a tool, your agents can update existing records. You can define specific agents that have this write access.

You can provide `list_media_assets` so your agents can manage media. This is useful for crews tasked with organizing or cleaning up your asset library.

Use `get_tenant_limits` as part of a supervisory agent's task list. It keeps the crew informed about their current operational capacity.

Your CMS data is accessed directly through the MCP server. We maintain strict isolation, and your API keys never leave your local environment or secure infrastructure.

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