How to Use the Claid AI MCP in CrewAI

Q: Can a CrewAI agent check our Claid AI usage limits programmatically?

Yes, your agents can use getclaidaccountinfo to monitor your quota. You can program a supervisor agent to pause the crew's work if your monthly image processing limit is almost reached.

Q: How do CrewAI agents handle async image processing tasks from Claid AI?

Agents use getprocessingtaskdetails to track background jobs. While one agent waits for the image upscaling to complete, other agents in the crew can continue processing different catalog tasks.

Q: Can I restrict which CrewAI agents have access to Claid AI tools?

Yes, you can use MCPServerHTTP from crewai.mcp with a toolfilter. This lets you restrict tools like enhanceimage to your Editor Agent while keeping your QA Agent read-only.

Deploy autonomous agent crews to edit, upscale, and organize product catalogs using CrewAI and Claid AI.

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Connect Claid AI MCP to CrewAI

Create your Vinkius account to connect Claid AI 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 Claid AI with CrewAI

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Multi-agent image editing via CrewAI MCP Server

The `enhance_image` tool merges upscaling, background removal, and lighting adjustments into a single call. In a CrewAI setup, an Editor Agent uses this tool to polish raw vendor photos, while a separate QA Agent reviews the account quota using `get_claid_account_info` before clearing the batch. This division of labor keeps your catalog pipeline moving autonomously. The agents pass tasks back and forth, ensuring no image is published without meeting your quality standards.

Autonomous image upscaling with CrewAI

The `upscale_image_resolution` tool increases image resolution using specialized AI models. Your CrewAI upscaling agent triggers this tool when low-resolution files are detected in your incoming product feed. The agent coordinates with a supervisor agent to ensure only high-priority product listings are processed. That's how you prevent unnecessary credit consumption while maintaining high visual quality across your storefront.

Multi-agent background replacement in CrewAI

The `remove_image_background` tool strips or replaces image backgrounds to create clean, uniform product shots. A dedicated background agent runs this tool on raw uploads, then hands the output to a cataloging agent to sort. Because CrewAI supports shared memory, the cataloging agent immediately knows which collection to target. The entire process runs in the background without requiring human intervention.

Setup guide

Set up Claid AI 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 Claid AI tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass your Vinkius MCP endpoint URL directly into the CrewAI Agent `mcps` list. This exposes tools like `remove_image_background` to that specific agent automatically.

Yes, your agents can use `get_claid_account_info` to monitor your quota. You can program a supervisor agent to pause the crew's work if your monthly image processing limit is almost reached.

Agents use `get_processing_task_details` to track background jobs. While one agent waits for the image upscaling to complete, other agents in the crew can continue processing different catalog tasks.

Yes, you can use `MCPServerHTTP` from `crewai.mcp` with a `tool_filter`. This lets you restrict tools like `enhance_image` to your Editor Agent while keeping your QA Agent read-only.

Yes, all image binary data, source URLs, and task metadata are processed within an ephemeral zero-trust sandbox. No image files or account tokens are stored permanently on the Vinkius platform.

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