How to Use the NinjaCat MCP in CrewAI

Deploy specialized agent teams that analyze NinjaCat campaigns and compile reports using CrewAI.

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Connect NinjaCat MCP to CrewAI

Create your Vinkius account to connect NinjaCat 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 NinjaCat with CrewAI

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Multi-Agent Campaign Audits

`list_agency_campaigns` gathers all active marketing campaigns from NinjaCat for your analytical CrewAI agents. This NinjaCat tool allows your research CrewAI agent to extract performance data and pass it directly to your writer agent. By using CrewAI, you can set up a hierarchical structure where a supervisor agent assigns NinjaCat tasks. The supervisor monitors the NinjaCat data collection process, ensuring no campaign is missed before drafting the final summary.

Automated Report Diagnostics via MCP Server

`get_report_history` retrieves execution logs for your agency reports from NinjaCat. This NinjaCat MCP Server tool enables a dedicated quality assurance CrewAI agent to identify failed report runs without human intervention. Once a NinjaCat failure is detected, the QA CrewAI agent can trigger a secondary tool to fetch the correct files. Automated CrewAI loops keep your NinjaCat client dashboards updated without requiring manual system checks.

Self-Healing Data Source Verification

`list_data_sources` identifies which integrations are currently active across your agency within NinjaCat. This NinjaCat MCP Server tool helps your CrewAI agent team diagnose broken connections before they ruin your client reports. If a NinjaCat data source is missing, the CrewAI agent can cross-reference your active accounts list to pinpoint the issue. This cooperative CrewAI problem-solving keeps your NinjaCat data pipelines clean and accurate.

Setup guide

Set up NinjaCat 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 NinjaCat tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You define the server URL in your agent configuration using the mcps parameter. This grants that specific CrewAI agent access to the endpoints.

Yes, they can. You can expose the server to your entire CrewAI team, allowing them to collaborate on tasks like campaign analysis.

You use the MCPServerHTTP class from crewai.mcp and apply a tool_filter. This restricts your CrewAI agents to only the tools they need.

The integration supports both stdio and SSE transports. For hosted multi-agent setups, we recommend using the Streamable HTTP transport.

The server uses zero-trust architecture to isolate every tool execution. Your data source credentials and advertiser data are never exposed to the agent framework or saved in logs.

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