How to Use the Dog CEO MCP in CrewAI

Q: How do I link Dog CEO to my CrewAI crew?

Simply pass the server URL into the mcps parameter of your agent definition. CrewAI connects to the server and makes the tools available to your agents.

Deploy autonomous dog-research crews in CrewAI using the Dog CEO MCP Server for specialized agent tasks.

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Connect Dog CEO MCP to CrewAI

Create your Vinkius account to connect Dog CEO 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 Dog CEO with CrewAI

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Perplexity

Specialized breed research with CrewAI agents

Assign a research agent to use `list_dog_breeds` for gathering metadata. The crew then shares this memory, allowing your analysis agent to categorize the breeds without duplicate requests. This creates a division of labor that mimics a real research team. One agent handles the data gathering, while the other focuses on the output generation.

Autonomous image gathering with MCP Server

Task your crew with using `get_random_dog_image` to populate a report. An agent detects the need for a visual, fetches it, and passes it to the moderator agent for final review. This happens without human intervention. Your agents operate autonomously, following the sequential or hierarchical structure you defined in your crew configuration.

Precise breed image collection for CrewAI crews

Use `get_dog_by_breed` to find specific assets for your report generation. By filtering tools, you ensure only the specialized image-fetcher agent has access to this capability. This keeps your crew organized and focused. You restrict permissions to maintain control while your agents perform their assigned roles with high efficiency.

Setup guide

Set up Dog CEO 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 Dog CEO tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Simply pass the server URL into the `mcps` parameter of your agent definition. CrewAI connects to the server and makes the tools available to your agents.

Your agent's activity is local to your environment. The server processes the request and returns the data, but no breed-specific usage logs are kept on the server side.

Yes. You can assign the tools to a shared crew memory space or give individual agents specific access based on the role they play.

The server provides a standard interface for your agents. For high-volume research, you can configure your crew to pace calls appropriately to avoid hitting rate limits.

You use the Vinkius endpoint token. It acts as your secure credential, ensuring your crew's access to the API remains authenticated and private.

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