How to Use the CatAAS MCP in CrewAI

Deploy a crew of AI agents to find, customize, and publish cat content autonomously with CrewAI.

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Connect CatAAS MCP to CrewAI

Create your Vinkius account to connect CatAAS 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 CatAAS with CrewAI

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Assemble an Autonomous Content Crew

You can build a complete content operation. Assign one agent the 'Researcher' role, making it responsible for using `list_tags` to find interesting cat categories. A second 'Creator' agent takes that tag and uses `get_cat_with_tag_and_text` to generate a fresh meme. A third 'Publisher' agent can then take the final image and post it to a blog or social media. The agents collaborate through shared memory, passing the cat data between them until the job is done. This MCP server provides the raw material for your crew.

Specialize Agents for GIF Sourcing

Set up a CrewAI team to manage a library of GIFs. One agent's only job is to continuously call `get_random_gif_cat`. A second 'Curator' agent could then take that GIF and use other tools to categorize it or check it for quality. This division of labor is what CrewAI is all about. The CatAAS tools provide the inputs for one or more specialized agents in your crew. You can build an entire pipeline for sourcing and curating content without any human steps.

A/B Test Memes with a CrewAI Crew

Here's a more advanced setup. An 'Analyst' agent identifies a trending topic. It passes the topic to a 'Creative' agent, which generates two different memes using `get_cat_with_tag_and_text` with different text or cat tags. Then, a 'Publisher' agent posts both versions. Later, the Analyst agent can check engagement stats and report back on which one worked better. The whole process is a closed loop, run by your crew of agents using this MCP server for the creative work.

Setup guide

Set up CatAAS 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 CatAAS tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You assign the tools to specific agents based on their roles. For instance, a 'Meme Creator' agent gets access to `get_cat_with_text`, while a 'Content Strategist' agent would use `list_tags` to find new ideas.

Yes, it's a perfect fit. You can create a crew where one agent finds cat pictures with `get_random_cat`, another agent writes a caption, and a third agent handles posting. The whole operation runs on its own.

Use role specialization. Create one agent that's an expert at finding GIFs (`get_random_gif_cat`) and another that specializes in static memes (`get_cat_with_tag_and_text`). They can work in sequence or in parallel, passing results to each other.

The easiest way is to pass the Vinkius MCP URL directly into the `mcps` list when you define an Agent. For more control, you can use `MCPServerHTTP` from `crewai.mcp` to filter exactly which tools each agent can access.

It is. CrewAI sends your text prompts to the Vinkius-managed MCP server. That server is ephemeral by design—it processes your text to make the cat image, and then the input data is discarded. Nothing is logged or stored.

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